{
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# scikit-learn Prediction"
      ],
      "metadata": {}
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "import math\n",
        "import sklearn\n",
        "from sklearn.neural_network import MLPRegressor\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "import warnings\n",
        "warnings.filterwarnings(\"ignore\")\n",
        "\n",
        "# yahoo finance is used to fetch data \n",
        "import yfinance as yf\n",
        "yf.pdr_override()"
      ],
      "outputs": [],
      "execution_count": 1,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false,
        "execution": {
          "iopub.status.busy": "2022-09-26T22:15:22.767Z",
          "iopub.execute_input": "2022-09-26T22:15:22.772Z",
          "iopub.status.idle": "2022-09-26T22:15:22.779Z",
          "shell.execute_reply": "2022-09-26T22:15:22.713Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"numpy: \", np.__version__)\n",
        "print(\"pandas: \", pd.__version__)\n",
        "print(\"matplotlib: \", matplotlib.__version__)\n",
        "print(\"sklearn: \", sklearn.__version__)\n",
        "print(\"yfinance: \", yf.__version__)\n",
        "\n"
      ],
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "numpy:  1.19.5\n",
            "pandas:  1.1.5\n",
            "matplotlib:  3.3.4\n",
            "sklearn:  0.24.2\n",
            "yfinance:  0.1.63\n"
          ]
        }
      ],
      "execution_count": 2,
      "metadata": {
        "collapsed": true,
        "jupyter": {
          "source_hidden": false,
          "outputs_hidden": false
        },
        "nteract": {
          "transient": {
            "deleting": false
          }
        },
        "execution": {
          "shell.execute_reply": "2022-09-26T22:15:22.720Z",
          "iopub.status.busy": "2022-09-26T22:15:22.788Z",
          "iopub.execute_input": "2022-09-26T22:15:22.793Z",
          "iopub.status.idle": "2022-09-26T22:15:22.803Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# input\n",
        "symbol = 'AMD'\n",
        "start = '2018-01-01'\n",
        "end = '2022-07-01'\n",
        "\n",
        "# Read data \n",
        "dataset = yf.download(symbol,start,end)\n",
        "\n",
        "# View Columns\n",
        "dataset.head()"
      ],
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[*********************100%***********************]  1 of 1 completed\n"
          ]
        },
        {
          "output_type": "execute_result",
          "execution_count": 3,
          "data": {
            "text/plain": "             Open   High    Low  Close  Adj Close     Volume\nDate                                                        \n2018-01-02  10.42  11.02  10.34  10.98      10.98   44146300\n2018-01-03  11.61  12.14  11.36  11.55      11.55  154066700\n2018-01-04  12.10  12.43  11.97  12.12      12.12  109503000\n2018-01-05  12.19  12.22  11.66  11.88      11.88   63808900\n2018-01-08  12.01  12.30  11.85  12.28      12.28   63346000",
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Open</th>\n      <th>High</th>\n      <th>Low</th>\n      <th>Close</th>\n      <th>Adj Close</th>\n      <th>Volume</th>\n    </tr>\n    <tr>\n      <th>Date</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2018-01-02</th>\n      <td>10.42</td>\n      <td>11.02</td>\n      <td>10.34</td>\n      <td>10.98</td>\n      <td>10.98</td>\n      <td>44146300</td>\n    </tr>\n    <tr>\n      <th>2018-01-03</th>\n      <td>11.61</td>\n      <td>12.14</td>\n      <td>11.36</td>\n      <td>11.55</td>\n      <td>11.55</td>\n      <td>154066700</td>\n    </tr>\n    <tr>\n      <th>2018-01-04</th>\n      <td>12.10</td>\n      <td>12.43</td>\n      <td>11.97</td>\n      <td>12.12</td>\n      <td>12.12</td>\n      <td>109503000</td>\n    </tr>\n    <tr>\n      <th>2018-01-05</th>\n      <td>12.19</td>\n      <td>12.22</td>\n      <td>11.66</td>\n      <td>11.88</td>\n      <td>11.88</td>\n      <td>63808900</td>\n    </tr>\n    <tr>\n      <th>2018-01-08</th>\n      <td>12.01</td>\n      <td>12.30</td>\n      <td>11.85</td>\n      <td>12.28</td>\n      <td>12.28</td>\n      <td>63346000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ],
      "execution_count": 3,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false,
        "execution": {
          "iopub.status.busy": "2022-09-26T22:15:22.812Z",
          "iopub.execute_input": "2022-09-26T22:15:22.818Z",
          "iopub.status.idle": "2022-09-26T22:15:23.538Z",
          "shell.execute_reply": "2022-09-26T22:15:23.742Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Create independent variable data\n",
        "dataset['Open_Close'] = (dataset['Open'] - dataset['Adj Close'])/dataset['Open']\n",
        "dataset['High_Low'] = (dataset['High'] - dataset['Low'])/dataset['Low']\n",
        "dataset['Increase_Decrease'] = np.where(dataset['Volume'].shift(-1) > dataset['Volume'],1,0)\n",
        "dataset['Buy_Sell_on_Open'] = np.where(dataset['Open'].shift(-1) > dataset['Open'],1,0)\n",
        "dataset['Buy_Sell'] = np.where(dataset['Adj Close'].shift(-1) > dataset['Adj Close'],1,0)\n",
        "dataset['Returns'] = dataset['Adj Close'].pct_change()\n",
        "dataset['Close_7d'] = dataset['Adj Close'].shift(7)\n",
        "dataset['Close_14d'] = dataset['Adj Close'].shift(14)\n",
        "dataset['Close_delta'] = dataset['Close_14d'] - dataset['Close_7d']\n",
        "dataset = dataset.dropna()\n",
        "dataset.head()"
      ],
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 4,
          "data": {
            "text/plain": "             Open   High    Low  Close  Adj Close    Volume  Open_Close  \\\nDate                                                                      \n2018-01-23  12.82  13.00  12.76  12.94      12.94  46417200   -0.009360   \n2018-01-24  13.02  13.05  12.60  12.71      12.71  41956400    0.023810   \n2018-01-25  12.78  12.94  12.32  12.41      12.41  42966600    0.028951   \n2018-01-26  12.70  12.95  12.62  12.95      12.95  44239000   -0.019685   \n2018-01-29  13.13  13.47  13.05  13.32      13.32  66645400   -0.014471   \n\n            High_Low  Increase_Decrease  Buy_Sell_on_Open  Buy_Sell   Returns  \\\nDate                                                                            \n2018-01-23  0.018809                  0                 1         0  0.022925   \n2018-01-24  0.035714                  1                 0         0 -0.017774   \n2018-01-25  0.050325                  1                 0         1 -0.023603   \n2018-01-26  0.026149                  1                 1         1  0.043513   \n2018-01-29  0.032184                  1                 0         0  0.028571   \n\n            Close_7d  Close_14d  Close_delta  \nDate                                          \n2018-01-23     12.14      10.98    -1.160001  \n2018-01-24     12.02      11.55    -0.470000  \n2018-01-25     11.91      12.12     0.210000  \n2018-01-26     12.18      11.88    -0.300000  \n2018-01-29     12.47      12.28    -0.190001  ",
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Open</th>\n      <th>High</th>\n      <th>Low</th>\n      <th>Close</th>\n      <th>Adj Close</th>\n      <th>Volume</th>\n      <th>Open_Close</th>\n      <th>High_Low</th>\n      <th>Increase_Decrease</th>\n      <th>Buy_Sell_on_Open</th>\n      <th>Buy_Sell</th>\n      <th>Returns</th>\n      <th>Close_7d</th>\n      <th>Close_14d</th>\n      <th>Close_delta</th>\n    </tr>\n    <tr>\n      <th>Date</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2018-01-23</th>\n      <td>12.82</td>\n      <td>13.00</td>\n      <td>12.76</td>\n      <td>12.94</td>\n      <td>12.94</td>\n      <td>46417200</td>\n      <td>-0.009360</td>\n      <td>0.018809</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0.022925</td>\n      <td>12.14</td>\n      <td>10.98</td>\n      <td>-1.160001</td>\n    </tr>\n    <tr>\n      <th>2018-01-24</th>\n      <td>13.02</td>\n      <td>13.05</td>\n      <td>12.60</td>\n      <td>12.71</td>\n      <td>12.71</td>\n      <td>41956400</td>\n      <td>0.023810</td>\n      <td>0.035714</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>-0.017774</td>\n      <td>12.02</td>\n      <td>11.55</td>\n      <td>-0.470000</td>\n    </tr>\n    <tr>\n      <th>2018-01-25</th>\n      <td>12.78</td>\n      <td>12.94</td>\n      <td>12.32</td>\n      <td>12.41</td>\n      <td>12.41</td>\n      <td>42966600</td>\n      <td>0.028951</td>\n      <td>0.050325</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>-0.023603</td>\n      <td>11.91</td>\n      <td>12.12</td>\n      <td>0.210000</td>\n    </tr>\n    <tr>\n      <th>2018-01-26</th>\n      <td>12.70</td>\n      <td>12.95</td>\n      <td>12.62</td>\n      <td>12.95</td>\n      <td>12.95</td>\n      <td>44239000</td>\n      <td>-0.019685</td>\n      <td>0.026149</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0.043513</td>\n      <td>12.18</td>\n      <td>11.88</td>\n      <td>-0.300000</td>\n    </tr>\n    <tr>\n      <th>2018-01-29</th>\n      <td>13.13</td>\n      <td>13.47</td>\n      <td>13.05</td>\n      <td>13.32</td>\n      <td>13.32</td>\n      <td>66645400</td>\n      <td>-0.014471</td>\n      <td>0.032184</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.028571</td>\n      <td>12.47</td>\n      <td>12.28</td>\n      <td>-0.190001</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ],
      "execution_count": 4,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false,
        "execution": {
          "iopub.status.busy": "2022-09-26T22:15:23.547Z",
          "iopub.execute_input": "2022-09-26T22:15:23.553Z",
          "shell.execute_reply": "2022-09-26T22:15:23.748Z",
          "iopub.status.idle": "2022-09-26T22:15:23.567Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "dataset.tail()"
      ],
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 5,
          "data": {
            "text/plain": "                 Open       High        Low      Close  Adj Close     Volume  \\\nDate                                                                           \n2022-06-24  83.559998  87.529999  83.080002  87.080002  87.080002   88553900   \n2022-06-27  87.360001  88.220001  85.250000  86.160004  86.160004   74663500   \n2022-06-28  85.709999  86.730003  80.430000  80.779999  80.779999   95618600   \n2022-06-29  79.550003  79.750000  76.510002  77.989998  77.989998  104140900   \n2022-06-30  77.730003  78.910004  75.480003  76.470001  76.470001  105368600   \n\n            Open_Close  High_Low  Increase_Decrease  Buy_Sell_on_Open  \\\nDate                                                                    \n2022-06-24   -0.042125  0.053563                  0                 1   \n2022-06-27    0.013736  0.034839                  1                 0   \n2022-06-28    0.057520  0.078329                  1                 0   \n2022-06-29    0.019610  0.042347                  1                 0   \n2022-06-30    0.016210  0.045443                  0                 0   \n\n            Buy_Sell   Returns   Close_7d   Close_14d  Close_delta  \nDate                                                                \n2022-06-24         0  0.056412  86.989998  106.300003    19.310005  \n2022-06-27         0 -0.010565  89.300003  105.650002    16.349998  \n2022-06-28         0 -0.062442  82.050003  105.279999    23.229996  \n2022-06-29         0 -0.034538  81.570000  101.900002    20.330002  \n2022-06-30         0 -0.019490  83.790001   98.800003    15.010002  ",
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Open</th>\n      <th>High</th>\n      <th>Low</th>\n      <th>Close</th>\n      <th>Adj Close</th>\n      <th>Volume</th>\n      <th>Open_Close</th>\n      <th>High_Low</th>\n      <th>Increase_Decrease</th>\n      <th>Buy_Sell_on_Open</th>\n      <th>Buy_Sell</th>\n      <th>Returns</th>\n      <th>Close_7d</th>\n      <th>Close_14d</th>\n      <th>Close_delta</th>\n    </tr>\n    <tr>\n      <th>Date</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2022-06-24</th>\n      <td>83.559998</td>\n      <td>87.529999</td>\n      <td>83.080002</td>\n      <td>87.080002</td>\n      <td>87.080002</td>\n      <td>88553900</td>\n      <td>-0.042125</td>\n      <td>0.053563</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0.056412</td>\n      <td>86.989998</td>\n      <td>106.300003</td>\n      <td>19.310005</td>\n    </tr>\n    <tr>\n      <th>2022-06-27</th>\n      <td>87.360001</td>\n      <td>88.220001</td>\n      <td>85.250000</td>\n      <td>86.160004</td>\n      <td>86.160004</td>\n      <td>74663500</td>\n      <td>0.013736</td>\n      <td>0.034839</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>-0.010565</td>\n      <td>89.300003</td>\n      <td>105.650002</td>\n      <td>16.349998</td>\n    </tr>\n    <tr>\n      <th>2022-06-28</th>\n      <td>85.709999</td>\n      <td>86.730003</td>\n      <td>80.430000</td>\n      <td>80.779999</td>\n      <td>80.779999</td>\n      <td>95618600</td>\n      <td>0.057520</td>\n      <td>0.078329</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>-0.062442</td>\n      <td>82.050003</td>\n      <td>105.279999</td>\n      <td>23.229996</td>\n    </tr>\n    <tr>\n      <th>2022-06-29</th>\n      <td>79.550003</td>\n      <td>79.750000</td>\n      <td>76.510002</td>\n      <td>77.989998</td>\n      <td>77.989998</td>\n      <td>104140900</td>\n      <td>0.019610</td>\n      <td>0.042347</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>-0.034538</td>\n      <td>81.570000</td>\n      <td>101.900002</td>\n      <td>20.330002</td>\n    </tr>\n    <tr>\n      <th>2022-06-30</th>\n      <td>77.730003</td>\n      <td>78.910004</td>\n      <td>75.480003</td>\n      <td>76.470001</td>\n      <td>76.470001</td>\n      <td>105368600</td>\n      <td>0.016210</td>\n      <td>0.045443</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>-0.019490</td>\n      <td>83.790001</td>\n      <td>98.800003</td>\n      <td>15.010002</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ],
      "execution_count": 5,
      "metadata": {
        "collapsed": true,
        "jupyter": {
          "source_hidden": false,
          "outputs_hidden": false
        },
        "nteract": {
          "transient": {
            "deleting": false
          }
        },
        "execution": {
          "iopub.status.busy": "2022-09-26T22:15:23.577Z",
          "iopub.execute_input": "2022-09-26T22:15:23.584Z",
          "iopub.status.idle": "2022-09-26T22:15:23.598Z",
          "shell.execute_reply": "2022-09-26T22:15:23.752Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# View rows and columns\n",
        "dataset.shape"
      ],
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 6,
          "data": {
            "text/plain": "(1118, 15)"
          },
          "metadata": {}
        }
      ],
      "execution_count": 6,
      "metadata": {
        "collapsed": true,
        "jupyter": {
          "source_hidden": false,
          "outputs_hidden": false
        },
        "nteract": {
          "transient": {
            "deleting": false
          }
        },
        "execution": {
          "iopub.status.busy": "2022-09-26T22:15:23.607Z",
          "iopub.execute_input": "2022-09-26T22:15:23.613Z",
          "iopub.status.idle": "2022-09-26T22:15:23.627Z",
          "shell.execute_reply": "2022-09-26T22:15:23.755Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# View data information\n",
        "dataset.info()"
      ],
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "DatetimeIndex: 1118 entries, 2018-01-23 to 2022-06-30\n",
            "Data columns (total 15 columns):\n",
            " #   Column             Non-Null Count  Dtype  \n",
            "---  ------             --------------  -----  \n",
            " 0   Open               1118 non-null   float64\n",
            " 1   High               1118 non-null   float64\n",
            " 2   Low                1118 non-null   float64\n",
            " 3   Close              1118 non-null   float64\n",
            " 4   Adj Close          1118 non-null   float64\n",
            " 5   Volume             1118 non-null   int64  \n",
            " 6   Open_Close         1118 non-null   float64\n",
            " 7   High_Low           1118 non-null   float64\n",
            " 8   Increase_Decrease  1118 non-null   int32  \n",
            " 9   Buy_Sell_on_Open   1118 non-null   int32  \n",
            " 10  Buy_Sell           1118 non-null   int32  \n",
            " 11  Returns            1118 non-null   float64\n",
            " 12  Close_7d           1118 non-null   float64\n",
            " 13  Close_14d          1118 non-null   float64\n",
            " 14  Close_delta        1118 non-null   float64\n",
            "dtypes: float64(11), int32(3), int64(1)\n",
            "memory usage: 126.6 KB\n"
          ]
        }
      ],
      "execution_count": 7,
      "metadata": {
        "collapsed": true,
        "jupyter": {
          "source_hidden": false,
          "outputs_hidden": false
        },
        "nteract": {
          "transient": {
            "deleting": false
          }
        },
        "execution": {
          "iopub.status.busy": "2022-09-26T22:15:23.636Z",
          "iopub.execute_input": "2022-09-26T22:15:23.642Z",
          "iopub.status.idle": "2022-09-26T22:15:23.655Z",
          "shell.execute_reply": "2022-09-26T22:15:23.759Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# View data statistics\n",
        "dataset.describe()"
      ],
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 8,
          "data": {
            "text/plain": "              Open         High          Low        Close    Adj Close  \\\ncount  1118.000000  1118.000000  1118.000000  1118.000000  1118.000000   \nmean     59.966395    61.194857    58.635733    59.922227    59.922227   \nstd      38.147215    38.928299    37.241516    38.072378    38.072378   \nmin       9.080000     9.770000     9.040000     9.530000     9.530000   \n25%      26.964999    27.620000    26.285000    27.217499    27.217499   \n50%      52.245001    53.080000    51.270000    52.224998    52.224998   \n75%      88.787498    90.722498    86.895000    88.817497    88.817497   \nmax     163.279999   164.460007   156.100006   161.910004   161.910004   \n\n             Volume   Open_Close     High_Low  Increase_Decrease  \\\ncount  1.118000e+03  1118.000000  1118.000000        1118.000000   \nmean   7.032065e+07    -0.000191     0.044551           0.471377   \nstd    3.671420e+07     0.029836     0.023147           0.499403   \nmin    1.670590e+07    -0.115245     0.012392           0.000000   \n25%    4.393120e+07    -0.016554     0.027568           0.000000   \n50%    5.859045e+07     0.001243     0.038733           0.000000   \n75%    8.719940e+07     0.016516     0.055063           1.000000   \nmax    3.250584e+08     0.124676     0.148305           1.000000   \n\n       Buy_Sell_on_Open     Buy_Sell      Returns     Close_7d    Close_14d  \\\ncount       1118.000000  1118.000000  1118.000000  1118.000000  1118.000000   \nmean           0.522361     0.508945     0.002253    59.485107    59.017379   \nstd            0.499723     0.500144     0.035986    38.214841    38.336892   \nmin            0.000000     0.000000    -0.154454     9.530000     9.530000   \n25%            0.000000     0.000000    -0.017223    26.500000    26.245000   \n50%            1.000000     1.000000     0.000633    51.570000    50.195000   \n75%            1.000000     1.000000     0.021070    88.817497    88.707502   \nmax            1.000000     1.000000     0.199481   161.910004   161.910004   \n\n       Close_delta  \ncount  1118.000000  \nmean     -0.467728  \nstd       6.022429  \nmin     -29.000000  \n25%      -2.974997  \n50%      -0.500000  \n75%       1.752499  \nmax      29.329994  ",
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Open</th>\n      <th>High</th>\n      <th>Low</th>\n      <th>Close</th>\n      <th>Adj Close</th>\n      <th>Volume</th>\n      <th>Open_Close</th>\n      <th>High_Low</th>\n      <th>Increase_Decrease</th>\n      <th>Buy_Sell_on_Open</th>\n      <th>Buy_Sell</th>\n      <th>Returns</th>\n      <th>Close_7d</th>\n      <th>Close_14d</th>\n      <th>Close_delta</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>count</th>\n      <td>1118.000000</td>\n      <td>1118.000000</td>\n      <td>1118.000000</td>\n      <td>1118.000000</td>\n      <td>1118.000000</td>\n      <td>1.118000e+03</td>\n      <td>1118.000000</td>\n      <td>1118.000000</td>\n      <td>1118.000000</td>\n      <td>1118.000000</td>\n      <td>1118.000000</td>\n      <td>1118.000000</td>\n      <td>1118.000000</td>\n      <td>1118.000000</td>\n      <td>1118.000000</td>\n    </tr>\n    <tr>\n      <th>mean</th>\n      <td>59.966395</td>\n      <td>61.194857</td>\n      <td>58.635733</td>\n      <td>59.922227</td>\n      <td>59.922227</td>\n      <td>7.032065e+07</td>\n      <td>-0.000191</td>\n      <td>0.044551</td>\n      <td>0.471377</td>\n      <td>0.522361</td>\n      <td>0.508945</td>\n      <td>0.002253</td>\n      <td>59.485107</td>\n      <td>59.017379</td>\n      <td>-0.467728</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>38.147215</td>\n      <td>38.928299</td>\n      <td>37.241516</td>\n      <td>38.072378</td>\n      <td>38.072378</td>\n      <td>3.671420e+07</td>\n      <td>0.029836</td>\n      <td>0.023147</td>\n      <td>0.499403</td>\n      <td>0.499723</td>\n      <td>0.500144</td>\n      <td>0.035986</td>\n      <td>38.214841</td>\n      <td>38.336892</td>\n      <td>6.022429</td>\n    </tr>\n    <tr>\n      <th>min</th>\n      <td>9.080000</td>\n      <td>9.770000</td>\n      <td>9.040000</td>\n      <td>9.530000</td>\n      <td>9.530000</td>\n      <td>1.670590e+07</td>\n      <td>-0.115245</td>\n      <td>0.012392</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>-0.154454</td>\n      <td>9.530000</td>\n      <td>9.530000</td>\n      <td>-29.000000</td>\n    </tr>\n    <tr>\n      <th>25%</th>\n      <td>26.964999</td>\n      <td>27.620000</td>\n      <td>26.285000</td>\n      <td>27.217499</td>\n      <td>27.217499</td>\n      <td>4.393120e+07</td>\n      <td>-0.016554</td>\n      <td>0.027568</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>-0.017223</td>\n      <td>26.500000</td>\n      <td>26.245000</td>\n      <td>-2.974997</td>\n    </tr>\n    <tr>\n      <th>50%</th>\n      <td>52.245001</td>\n      <td>53.080000</td>\n      <td>51.270000</td>\n      <td>52.224998</td>\n      <td>52.224998</td>\n      <td>5.859045e+07</td>\n      <td>0.001243</td>\n      <td>0.038733</td>\n      <td>0.000000</td>\n      <td>1.000000</td>\n      <td>1.000000</td>\n      <td>0.000633</td>\n      <td>51.570000</td>\n      <td>50.195000</td>\n      <td>-0.500000</td>\n    </tr>\n    <tr>\n      <th>75%</th>\n      <td>88.787498</td>\n      <td>90.722498</td>\n      <td>86.895000</td>\n      <td>88.817497</td>\n      <td>88.817497</td>\n      <td>8.719940e+07</td>\n      <td>0.016516</td>\n      <td>0.055063</td>\n      <td>1.000000</td>\n      <td>1.000000</td>\n      <td>1.000000</td>\n      <td>0.021070</td>\n      <td>88.817497</td>\n      <td>88.707502</td>\n      <td>1.752499</td>\n    </tr>\n    <tr>\n      <th>max</th>\n      <td>163.279999</td>\n      <td>164.460007</td>\n      <td>156.100006</td>\n      <td>161.910004</td>\n      <td>161.910004</td>\n      <td>3.250584e+08</td>\n      <td>0.124676</td>\n      <td>0.148305</td>\n      <td>1.000000</td>\n      <td>1.000000</td>\n      <td>1.000000</td>\n      <td>0.199481</td>\n      <td>161.910004</td>\n      <td>161.910004</td>\n      <td>29.329994</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ],
      "execution_count": 8,
      "metadata": {
        "collapsed": true,
        "jupyter": {
          "source_hidden": false,
          "outputs_hidden": false
        },
        "nteract": {
          "transient": {
            "deleting": false
          }
        },
        "execution": {
          "iopub.status.busy": "2022-09-26T22:15:23.666Z",
          "iopub.execute_input": "2022-09-26T22:15:23.672Z",
          "iopub.status.idle": "2022-09-26T22:15:23.687Z",
          "shell.execute_reply": "2022-09-26T22:15:23.763Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Plot Line Chart\n",
        "dataset['Adj Close'].plot(legend=True, figsize=(16,8))\n",
        "plt.ylabel('Price')\n",
        "plt.title(symbol + ' Closing Price between ' + start + ' & '  + end)"
      ],
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 9,
          "data": {
            "text/plain": "Text(0.5, 1.0, 'AMD Closing Price between 2018-01-01 & 2022-07-01')"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1152x576 with 1 Axes>",
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "execution_count": 9,
      "metadata": {
        "collapsed": true,
        "jupyter": {
          "source_hidden": false,
          "outputs_hidden": false
        },
        "nteract": {
          "transient": {
            "deleting": false
          }
        },
        "execution": {
          "iopub.status.busy": "2022-09-26T22:15:23.696Z",
          "iopub.execute_input": "2022-09-26T22:15:23.701Z",
          "shell.execute_reply": "2022-09-26T22:15:23.934Z",
          "iopub.status.idle": "2022-09-26T22:15:23.843Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Create copy dataset\n",
        "df = dataset.dropna().copy()\n",
        "\n",
        "# define the predictors  \n",
        "predictors = ['Open', 'High', 'Low', 'Volume', 'Returns', 'Close_7d', 'Close_14d', 'Close_delta']\n",
        "\n",
        "# define the target column\n",
        "target = 'Adj Close'"
      ],
      "outputs": [],
      "execution_count": 10,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false,
        "execution": {
          "iopub.status.busy": "2022-09-26T22:15:23.852Z",
          "iopub.execute_input": "2022-09-26T22:15:23.858Z",
          "iopub.status.idle": "2022-09-26T22:15:23.869Z",
          "shell.execute_reply": "2022-09-26T22:15:23.945Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Do not use the last 7 days for training the model\n",
        "dropN = 7\n",
        "X = df[predictors][:-dropN]\n",
        "y = df[[target]][:-dropN]"
      ],
      "outputs": [],
      "execution_count": 11,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false,
        "execution": {
          "iopub.status.busy": "2022-09-26T22:15:23.879Z",
          "iopub.execute_input": "2022-09-26T22:15:23.884Z",
          "iopub.status.idle": "2022-09-26T22:15:23.896Z",
          "shell.execute_reply": "2022-09-26T22:15:23.950Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import statsmodels.api as sm\n",
        "\n",
        "model = sm.OLS(y, X).fit()\n",
        "# Score the model\n",
        "df['PredictLR'] = model.predict(df[predictors])"
      ],
      "outputs": [],
      "execution_count": 12,
      "metadata": {
        "collapsed": true,
        "jupyter": {
          "source_hidden": false,
          "outputs_hidden": false
        },
        "nteract": {
          "transient": {
            "deleting": false
          }
        },
        "execution": {
          "iopub.status.busy": "2022-09-26T22:15:23.908Z",
          "iopub.execute_input": "2022-09-26T22:15:23.914Z",
          "iopub.status.idle": "2022-09-26T22:15:24.182Z",
          "shell.execute_reply": "2022-09-26T22:15:24.255Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df[['PredictLR', 'Adj Close']]"
      ],
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 13,
          "data": {
            "text/plain": "            PredictLR  Adj Close\nDate                            \n2018-01-23  13.185578  12.940000\n2018-01-24  12.454528  12.710000\n2018-01-25  12.198570  12.410000\n2018-01-26  13.400048  12.950000\n2018-01-29  13.661488  13.320000\n...               ...        ...\n2022-06-24  86.893187  87.080002\n2022-06-27  86.424241  86.160004\n2022-06-28  81.868093  80.779999\n2022-06-29  77.159341  77.989998\n2022-06-30  76.848518  76.470001\n\n[1118 rows x 2 columns]",
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>PredictLR</th>\n      <th>Adj Close</th>\n    </tr>\n    <tr>\n      <th>Date</th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2018-01-23</th>\n      <td>13.185578</td>\n      <td>12.940000</td>\n    </tr>\n    <tr>\n      <th>2018-01-24</th>\n      <td>12.454528</td>\n      <td>12.710000</td>\n    </tr>\n    <tr>\n      <th>2018-01-25</th>\n      <td>12.198570</td>\n      <td>12.410000</td>\n    </tr>\n    <tr>\n      <th>2018-01-26</th>\n      <td>13.400048</td>\n      <td>12.950000</td>\n    </tr>\n    <tr>\n      <th>2018-01-29</th>\n      <td>13.661488</td>\n      <td>13.320000</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>2022-06-24</th>\n      <td>86.893187</td>\n      <td>87.080002</td>\n    </tr>\n    <tr>\n      <th>2022-06-27</th>\n      <td>86.424241</td>\n      <td>86.160004</td>\n    </tr>\n    <tr>\n      <th>2022-06-28</th>\n      <td>81.868093</td>\n      <td>80.779999</td>\n    </tr>\n    <tr>\n      <th>2022-06-29</th>\n      <td>77.159341</td>\n      <td>77.989998</td>\n    </tr>\n    <tr>\n      <th>2022-06-30</th>\n      <td>76.848518</td>\n      <td>76.470001</td>\n    </tr>\n  </tbody>\n</table>\n<p>1118 rows × 2 columns</p>\n</div>"
          },
          "metadata": {}
        }
      ],
      "execution_count": 13,
      "metadata": {
        "collapsed": true,
        "jupyter": {
          "source_hidden": false,
          "outputs_hidden": false
        },
        "nteract": {
          "transient": {
            "deleting": false
          }
        },
        "execution": {
          "iopub.status.busy": "2022-09-26T22:15:24.193Z",
          "iopub.execute_input": "2022-09-26T22:15:24.200Z",
          "iopub.status.idle": "2022-09-26T22:15:24.216Z",
          "shell.execute_reply": "2022-09-26T22:15:24.260Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df[['PredictLR', 'Adj Close']].plot(legend=True, figsize=(16,8))\n",
        "plt.ylabel('Price')\n",
        "plt.grid()\n",
        "plt.title(symbol + ' Predict and Closing Price')"
      ],
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 14,
          "data": {
            "text/plain": "Text(0.5, 1.0, 'AMD Predict and Closing Price')"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1152x576 with 1 Axes>",
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "execution_count": 14,
      "metadata": {
        "collapsed": true,
        "jupyter": {
          "source_hidden": false,
          "outputs_hidden": false
        },
        "nteract": {
          "transient": {
            "deleting": false
          }
        },
        "execution": {
          "iopub.status.busy": "2022-09-26T22:15:24.226Z",
          "iopub.execute_input": "2022-09-26T22:15:24.232Z",
          "shell.execute_reply": "2022-09-26T22:15:24.378Z",
          "iopub.status.idle": "2022-09-26T22:15:24.388Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn import svm\n",
        "\n",
        "regr = svm.SVR()\n",
        "regr.fit(X, y)\n",
        "df['PredictSVM'] = regr.predict(df[predictors])"
      ],
      "outputs": [],
      "execution_count": 15,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false,
        "execution": {
          "iopub.status.busy": "2022-09-26T22:15:24.398Z",
          "iopub.execute_input": "2022-09-26T22:15:24.404Z",
          "iopub.status.idle": "2022-09-26T22:15:24.536Z",
          "shell.execute_reply": "2022-09-26T22:15:24.590Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df[['PredictLR', 'PredictSVM', 'Adj Close']]"
      ],
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 16,
          "data": {
            "text/plain": "            PredictLR  PredictSVM  Adj Close\nDate                                        \n2018-01-23  13.185578   56.772874  12.940000\n2018-01-24  12.454528   58.428346  12.710000\n2018-01-25  12.198570   58.059245  12.410000\n2018-01-26  13.400048   57.589125  12.950000\n2018-01-29  13.661488   49.140151  13.320000\n...               ...         ...        ...\n2022-06-24  86.893187   42.674237  87.080002\n2022-06-27  86.424241   46.448311  86.160004\n2022-06-28  81.868093   41.229954  80.779999\n2022-06-29  77.159341   39.884982  77.989998\n2022-06-30  76.848518   39.723305  76.470001\n\n[1118 rows x 3 columns]",
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>PredictLR</th>\n      <th>PredictSVM</th>\n      <th>Adj Close</th>\n    </tr>\n    <tr>\n      <th>Date</th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2018-01-23</th>\n      <td>13.185578</td>\n      <td>56.772874</td>\n      <td>12.940000</td>\n    </tr>\n    <tr>\n      <th>2018-01-24</th>\n      <td>12.454528</td>\n      <td>58.428346</td>\n      <td>12.710000</td>\n    </tr>\n    <tr>\n      <th>2018-01-25</th>\n      <td>12.198570</td>\n      <td>58.059245</td>\n      <td>12.410000</td>\n    </tr>\n    <tr>\n      <th>2018-01-26</th>\n      <td>13.400048</td>\n      <td>57.589125</td>\n      <td>12.950000</td>\n    </tr>\n    <tr>\n      <th>2018-01-29</th>\n      <td>13.661488</td>\n      <td>49.140151</td>\n      <td>13.320000</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>2022-06-24</th>\n      <td>86.893187</td>\n      <td>42.674237</td>\n      <td>87.080002</td>\n    </tr>\n    <tr>\n      <th>2022-06-27</th>\n      <td>86.424241</td>\n      <td>46.448311</td>\n      <td>86.160004</td>\n    </tr>\n    <tr>\n      <th>2022-06-28</th>\n      <td>81.868093</td>\n      <td>41.229954</td>\n      <td>80.779999</td>\n    </tr>\n    <tr>\n      <th>2022-06-29</th>\n      <td>77.159341</td>\n      <td>39.884982</td>\n      <td>77.989998</td>\n    </tr>\n    <tr>\n      <th>2022-06-30</th>\n      <td>76.848518</td>\n      <td>39.723305</td>\n      <td>76.470001</td>\n    </tr>\n  </tbody>\n</table>\n<p>1118 rows × 3 columns</p>\n</div>"
          },
          "metadata": {}
        }
      ],
      "execution_count": 16,
      "metadata": {
        "collapsed": true,
        "jupyter": {
          "source_hidden": false,
          "outputs_hidden": false
        },
        "nteract": {
          "transient": {
            "deleting": false
          }
        },
        "execution": {
          "iopub.status.busy": "2022-09-26T22:15:24.547Z",
          "iopub.execute_input": "2022-09-26T22:15:24.553Z",
          "iopub.status.idle": "2022-09-26T22:15:24.567Z",
          "shell.execute_reply": "2022-09-26T22:15:24.594Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df[['PredictSVM', 'Adj Close']].plot(legend=True, figsize=(16,8))\n",
        "plt.ylabel('Price')\n",
        "plt.grid()\n",
        "plt.title(symbol + ' Predict and Closing Price')"
      ],
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 17,
          "data": {
            "text/plain": "Text(0.5, 1.0, 'AMD Predict and Closing Price')"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1152x576 with 1 Axes>",
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "execution_count": 17,
      "metadata": {
        "collapsed": true,
        "jupyter": {
          "source_hidden": false,
          "outputs_hidden": false
        },
        "nteract": {
          "transient": {
            "deleting": false
          }
        },
        "execution": {
          "iopub.status.busy": "2022-09-26T22:15:24.577Z",
          "iopub.execute_input": "2022-09-26T22:15:24.583Z",
          "shell.execute_reply": "2022-09-26T22:15:24.812Z",
          "iopub.status.idle": "2022-09-26T22:15:24.788Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Split the dataset in train and test data\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)\n",
        "\n",
        "# Scale inputs\n",
        "sc_X = StandardScaler()\n",
        "X_trainscaled=sc_X.fit_transform(X_train)\n",
        "X_testscaled=sc_X.transform(X_test)\n",
        "\n",
        "reg = MLPRegressor(hidden_layer_sizes=(64,64,64),activation=\"relu\" , \n",
        "                   max_iter=5000)\n",
        "reg.fit(X_trainscaled, y_train)\n",
        "\n",
        "# scale inputs before predicting\n",
        "df['PredictMLP'] = reg.predict(sc_X.fit_transform(df[predictors]))"
      ],
      "outputs": [],
      "execution_count": 18,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false,
        "execution": {
          "iopub.status.busy": "2022-09-26T22:15:24.799Z",
          "iopub.execute_input": "2022-09-26T22:15:24.805Z",
          "iopub.status.idle": "2022-09-26T22:15:26.905Z",
          "shell.execute_reply": "2022-09-26T22:15:26.934Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df[['PredictMLP', 'Adj Close']].plot(legend=True, figsize=(16,8))\n",
        "plt.ylabel('Price')\n",
        "plt.grid()\n",
        "plt.title(symbol + ' Predict and Closing Price')"
      ],
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 19,
          "data": {
            "text/plain": "Text(0.5, 1.0, 'AMD Predict and Closing Price')"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1152x576 with 1 Axes>",
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "execution_count": 19,
      "metadata": {
        "collapsed": true,
        "jupyter": {
          "source_hidden": false,
          "outputs_hidden": false
        },
        "nteract": {
          "transient": {
            "deleting": false
          }
        },
        "execution": {
          "iopub.status.busy": "2022-09-26T22:15:26.916Z",
          "iopub.execute_input": "2022-09-26T22:15:26.922Z",
          "shell.execute_reply": "2022-09-26T22:15:27.150Z",
          "iopub.status.idle": "2022-09-26T22:15:27.089Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df[['PredictLR', 'PredictSVM', 'PredictMLP', 'Adj Close']]"
      ],
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 20,
          "data": {
            "text/plain": "            PredictLR  PredictSVM  PredictMLP  Adj Close\nDate                                                    \n2018-01-23  13.185578   56.772874   13.624758  12.940000\n2018-01-24  12.454528   58.428346   13.401760  12.710000\n2018-01-25  12.198570   58.059245   13.258503  12.410000\n2018-01-26  13.400048   57.589125   13.604934  12.950000\n2018-01-29  13.661488   49.140151   13.765478  13.320000\n...               ...         ...         ...        ...\n2022-06-24  86.893187   42.674237   86.327822  87.080002\n2022-06-27  86.424241   46.448311   84.705403  86.160004\n2022-06-28  81.868093   41.229954   85.482430  80.779999\n2022-06-29  77.159341   39.884982   78.296015  77.989998\n2022-06-30  76.848518   39.723305   75.218051  76.470001\n\n[1118 rows x 4 columns]",
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>PredictLR</th>\n      <th>PredictSVM</th>\n      <th>PredictMLP</th>\n      <th>Adj Close</th>\n    </tr>\n    <tr>\n      <th>Date</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2018-01-23</th>\n      <td>13.185578</td>\n      <td>56.772874</td>\n      <td>13.624758</td>\n      <td>12.940000</td>\n    </tr>\n    <tr>\n      <th>2018-01-24</th>\n      <td>12.454528</td>\n      <td>58.428346</td>\n      <td>13.401760</td>\n      <td>12.710000</td>\n    </tr>\n    <tr>\n      <th>2018-01-25</th>\n      <td>12.198570</td>\n      <td>58.059245</td>\n      <td>13.258503</td>\n      <td>12.410000</td>\n    </tr>\n    <tr>\n      <th>2018-01-26</th>\n      <td>13.400048</td>\n      <td>57.589125</td>\n      <td>13.604934</td>\n      <td>12.950000</td>\n    </tr>\n    <tr>\n      <th>2018-01-29</th>\n      <td>13.661488</td>\n      <td>49.140151</td>\n      <td>13.765478</td>\n      <td>13.320000</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>2022-06-24</th>\n      <td>86.893187</td>\n      <td>42.674237</td>\n      <td>86.327822</td>\n      <td>87.080002</td>\n    </tr>\n    <tr>\n      <th>2022-06-27</th>\n      <td>86.424241</td>\n      <td>46.448311</td>\n      <td>84.705403</td>\n      <td>86.160004</td>\n    </tr>\n    <tr>\n      <th>2022-06-28</th>\n      <td>81.868093</td>\n      <td>41.229954</td>\n      <td>85.482430</td>\n      <td>80.779999</td>\n    </tr>\n    <tr>\n      <th>2022-06-29</th>\n      <td>77.159341</td>\n      <td>39.884982</td>\n      <td>78.296015</td>\n      <td>77.989998</td>\n    </tr>\n    <tr>\n      <th>2022-06-30</th>\n      <td>76.848518</td>\n      <td>39.723305</td>\n      <td>75.218051</td>\n      <td>76.470001</td>\n    </tr>\n  </tbody>\n</table>\n<p>1118 rows × 4 columns</p>\n</div>"
          },
          "metadata": {}
        }
      ],
      "execution_count": 20,
      "metadata": {
        "collapsed": true,
        "jupyter": {
          "source_hidden": false,
          "outputs_hidden": false
        },
        "nteract": {
          "transient": {
            "deleting": false
          }
        },
        "execution": {
          "iopub.status.busy": "2022-09-26T22:15:27.100Z",
          "iopub.execute_input": "2022-09-26T22:15:27.108Z",
          "iopub.status.idle": "2022-09-26T22:15:27.123Z",
          "shell.execute_reply": "2022-09-26T22:15:27.155Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df[['PredictLR', 'PredictSVM', 'PredictMLP', 'Adj Close']].plot(legend=True, figsize=(16,8))\n",
        "plt.ylabel('Price')\n",
        "plt.grid()\n",
        "plt.title(symbol + ' Predict and Closing Price')"
      ],
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 21,
          "data": {
            "text/plain": "Text(0.5, 1.0, 'AMD Predict and Closing Price')"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1152x576 with 1 Axes>",
            "image/png": 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bsYmIiIiISM/bs20bAJWJ1kNjRXpaXy8ANRlYYIx51RjznDFmXub8CGB7s3I7MudERERERGSAaMgMM44a28+RyNGgrxeA8gClwEnAPODvxpjxXanAGPNx4OMAQ4YMyU5c7kuhUKhfnnu0UTv3PbV531A79z21ed9RW/cttXffUVt3Tt22rQB4E6lDaq/Dpb2Lioq6tD3NQJRKpQ6b9xiNRrv0e+/rZHYH8C9rrQVeM8akgXJgJzCqWbmRmXOtWGtvA24DmDt3rm2+ildfqaiooD+ee7RRO/c9tXnfUDv3PbV531Fb9y21d99RW3fOg79zVtPNjacPqb0Ol/Zes2YNBQUF/R1GrwoGg4fNewwEAhx33HGdLt/Xw4wfAs4AMMZMBnxAFfBv4FJjjN8YMw6YBLzWx7GJiIiIiMgh8NU7PXy5Ua3j2lPcbjezZ89mxowZXHLJJYTD4W7XdeWVV/LAAw8Azt60q1evbrdsRUUFL730Uvb1unXrWLhwIbNnz2batGl8/OMfJxwOU1ZWRkNDQ4t73/ve93L//fdz1113YYzhqaeeyl576KGHMMZk4zgUvbk1z73Ay8AUY8wOY8zVwJ+A8Znteu4DrrCOt4G/A6uBx4BPayVjEREREZGBJS8UASAnlu7nSI4cOTk5rFixglWrVuHz+bj11ltbXE8mk92q94477mD69OntXj8wmf3c5z7HF7/4RVasWMGaNWv47Gc/S25uLosWLeLBBx/Mlquvr+eFF17g/PPPB+DYY4/lvvvuy16/9957mTVrVrdiPlBvrmZ8mbV2mLXWa60daa39o7U2bq39iLV2hrV2jrX2mWblf2StnWCtnWKtfbS34hIRERERkZ4Vev4Fqv90JwWNcQB8KS0A1RsWLFjAhg0bqKioYMGCBVxwwQVMnz6dVCrFV77yFebNm8fMmTP5wx/+AIC1ls985jNMmTKFs88+m8rKymxdCxcu5PXXXwfgscceY86cOcyaNYuzzjqLLVu2cOutt3LTTTcxe/Zsnn/+eXbv3s3IkSOz9x977LEAXHbZZS2S1QcffJBFixaRm5ubjfm1114jkUgQCoXYsGEDs2fP7pH26Os5syIiIiIicgTYEdxBTbSGmYNmsv3aawHIzVxzH4ljLB/9f7DnrZ6tc+ixcO6NnSqaTCZ59NFHWbx4MQDLly9n1apVjBs3jttuu42ioiKWLl1KLBbjlFNO4ZxzzuGNN95g3bp1rF69mr179zJ9+nSuuuqqFvVWVVVx7bXXsmTJEsaNG0dNTQ2lpaVcd9115Ofn8+UvfxmAL37xi5x55pmcfPLJnHPOOXzsYx+juLiYRYsWcc0111BdXU1ZWRn33Xcfn/nMZ7L1G2M4++yzefzxx6mvr+eCCy5g8+bNPdJ8fT1nVkREREREjgDvfvDdfPiRDxNNtMxcQwHwpCGVPhIz2r4XiUSYPXs2c+fOZfTo0Vx99dUAnHDCCYwbNw6AJ554grvvvpvZs2dz4oknUl1dzfr161myZAmXXXYZbreb4cOHc+aZZ7aqf+nSpZx22mnZukpLS9uM42Mf+xhr1qzhkksuoaKigpNOOolYLIbP5+OCCy7ggQceoKqqijfeeINFixa1uPfSSy/lvvvu47777uOyyy7rsbZRz6yIiIiIiHRZ2jrzYr/54AqucHvxphIAVBe4GV6TIpyIUeDP7aiKgaWTPag9bf+c2QPl5eVlj621/Pa3v22VRD7yyCM9Gsvw4cO56qqruOqqq5gxYwarVq3i+OOP57LLLuMHP/gB1louvPBCvF5vi/tOOOEE3nrrLXJzc5k8eXKPxaOeWRERERER6bbH126gKq8k+7quMAdvCoKxaD9GdXRZtGgRt9xyC4mE84XCO++8Q2NjI6eddhr3338/qVSK3bt38+yzz7a6d968eSxZsiQ79LempgaAgoKCFvvPPvbYY9n69+zZQ3V1NSNGjACc+bfr16/n5ptvbrfn9cYbb+SGG27ouTeNemZFRERERKSb8iKWynQVdf4ChuEsLtRYWggbQwTDIShse8iq9KxrrrmGLVu2MGfOHKy1DBo0iIceeoiLLrqIZ555hunTpzN69Gjmz5/f6t7y8nJuu+023ve+95FOpxk8eDBPPvkk559/PhdffDEPP/wwv/3tb3niiSf4/Oc/TyAQAOBnP/sZQ4cOBcDlcnHxxRfz97//ndNPP73NGM8999wef99KZkVEREREpMsm7/Txw7vD/GzBG5hm82Nt+SBgF+HGxv4L7ggSCoVanVu4cCELFy7Mvna5XNxwww1t9nz+7ne/a7PeiooKAILBIOeee26rZHPy5MmsXLky+3rBggX88pe/bDfOX/3qV/zqV79qce7KK6/kyiuvbFX2rrvuareertAwYxERERER6bIzljk/51cuw2OdhCsUAF9myHFjuHUSJtKTlMyKiIiIiEiXFcWcBaBG1UTxuaqIeeDB+S58fmdhonC48z2zNp1m749/TGzTpl6JVY5MSmZFRERERKTLcvcns1VQGIGlkw3RDy7C63PmVEajnU9mE9u2UfPnu9nxqU/3SqxyZFIyKyIiIiIiXZYTS5F0G1wWihshaXL55cJf4vH7AYhGOr+acbK6GoDEzp29EqscmZTMioiIiIhIl+XG0qyfUI41zuukxw2AN5PMxiKd75mt2rIVAJvZ+kWkM5TMioiIiIhIl8TqGxhSbwmV5FM9uBCApMtJLbz+HADisUin69v8zuqeD1KOeEpmRURERESkS7Z+9KMApHNzqBpVDkDS7fTM+nOcZDbRhWS2fsfW7HFcvbMtuN1uZs+ezYwZM7jkkksIh8PdruvKK6/kgQceAJy9aVevbv9LhIqKCl566aXs6+uvvx5jDBs2bMie+9WvfoUxhtdffx2AsWPHUlVV1aKeu+66i0GDBjF79mymT5/O7bff3u34D6RkVkREREREuiT1zjsABIyLaFE+AEmPM944kElmY9HOz5lNVe7JHlfVVPdUmEeEnJwcVqxYwapVq/D5fNx6660trieTyW7Ve8cddzB9+vR2rx+YzAIce+yx3HfffdnX//jHPzjmmGMO+qwPfvCDrFixgoqKCr7xjW+wd+/ebsV8ICWzIiIiIiLSLeWhGKn8XAA8KQtASUEBAMFg5+fM+mprs8f7qip7MMIjy4IFC9iwYQMVFRUsWLCACy64gOnTp5NKpfjKV77CvHnzmDlzJn/4wx8AsNbymc98hilTpnD22WdTWdnUtgsXLsz2qD722GPMmTOHWbNmcdZZZ7FlyxZuvfVWbrrpJmbPns3zzz8PwHvf+14efvhhADZu3EhRURHl5eWdjn/w4MFMmDCBrVu3HrxwJ3h6pBYRERERETlqVI2eQPm2jdR8+AzsK86w0/1b9eTk5hEEGuvqO11fXrPEt7amisOxz+0nr/2EtTVre7TOqaVT+doJX+tU2WQyyaOPPsrixYsBWL58OatWrWLcuHHcdtttFBUVsXTpUmKxGKeccgrnnHMOb7zxBuvWrWP16tXs3buX6dOnc9VVV7Wot6qqimuvvZYlS5Ywbtw4ampqKC0t5brrriM/P58vf/nLADz99NMUFhYyatQoVq1axcMPP8wHP/hB7rzzzk6/302bNrFp0yYmTpzY6Xs6cvj9KRERERERkcNaKFXFm2MNidGDIS8PgJx4CoCS/EEAXP7Ak52qK5lKUxKKsbfYeV1fV0NDvI41e1f1eNwDUSQSYfbs2cydO5fRo0dz9dVXA3DCCScwbtw4AJ544gnuvvtuZs+ezYknnkh1dTXr169nyZIlXHbZZbjdboYPH86ZZ57Zqv6lS5dy2mmnZesqLS3tMJ5LL72U++67j4ceeoiLLrqoU+/h/vvvZ/bs2Vx22WX84Q9/OOgzOks9syIiIiIi0qHtv72FyGuvMvkvdzknEg3Ec6HUX0R9njNnNifu9My6fYEu1b1j6258KcueUg9D6pKE6mvZ8/yDBL6/lWkvvN2Tb+OQdLYHtaftnzN7oLzMlwjgDCf+7W9/y6JFi1qUeeSRR3o8nve85z185StfYe7cuRQWFnbqng9+8IP87ne/6/FY1DMrIiIiIiIdCt38G1JLX2VT9XoAAgkfcY+bxWMXEx83EoDXJzlzZY3X26W6t73jzJ9sGFwEQDjYQNnuKobUpXsq/CPeokWLuOWWW0hkVoJ+5513aGxs5LTTTuP+++8nlUqxe/dunn322Vb3zps3jyVLlrB582YAampqACgoKCAYDLYqn5uby09+8hO++c1v9uI76hz1zIqIiIiISKc8uuRPfPqiH+NNpkh58vC4PKQHDeGyr7rxpksypWyX6tyxYR2DAPfoEfBKNfFQPWWNEXxJSCTieL2+Hn8fR5prrrmGLVu2MGfOHKy1DBo0KDsM+JlnnmH69OmMHj2a+fPnt7q3vLyc2267jfe9732k02kGDx7Mk08+yfnnn8/FF1/Mww8/zG9/+9sW91x66aXtxjJz5kxcmT2HP/CBDzBz5syefbPNKJkVEREREZEOxTwGf9IyptrpdfUl0yQzPbAe4yHlNuxPOT2DBmXvS8TieP0dJ6O1O5wFpEqmTANWEgnWUdLobDfT0FBPWdmgDu4+8oVCoVbnFi5cyMKFC7OvXS4XN9xwAzfccEOrsu0N762oqAAgGAxy7rnncu6557a4PnnyZFauXJl9vWDBgg7rAdiyZUubZa688so2zx8qDTMWEREREZEOJV3OHrKJhggA3qQllR1O7G5R1l1QwHPnzQUgGGo4aN2Jyh0ADJnk9ODV1e+mNDO6taGhtr3bRJTMioiIiIhIxzxpZ+hw/or11N53P4GEJZUZ/juowA9AWV5TD6zxO4tANdQfPBn11lVRnwvjRzvJbE7NTnzOwsgEg53f3keOPhpmLCIiIiIiHfKknGR25Gvr2LP0ewCkM8lseb6TzA4talrF2O3PASAY6jgZjcRTFITqqS0wnDB4PNUGRjbbn7ZRyax0QD2zIiIiIiLSIXfzNZ2s8yKd6X01xhmCbJst/OQOOMls6CDJaF0kTlk4TEOhH5fLRThgGFXVtIpxpBPDlOXopWRWRERERETalUok277gc3pkRxWMAuBdY96VveQJ5AIQbmy9tUvjK6+QjjhzbyPxFGWNMSLFzl61jQEPw5qNTFYyKx1RMisiIiIiIu0KBxtbvH5uhiHqhUhZKQBD84by6ode5UNTP5Qt48sks42hOr7+/Nf59fJfAxDfsYNtV36M3d/5rlN3KEJRJE2ixNnWJ5LTco/aWGPrlXxF9lMyKyIiIiIi7aqtrm7xetVoN1d9wc3e6ROz53K9udnhxgDevAIAqht28d9N/+WOt+4AIBasc+pcvQKAxr17nBvKBwOQzG+adwsQj7RMpI9WDz30EMYY1q5d226ZhQsX8vrrrwNw3nnnUVdX16pMKBTiE5/4BBMmTOD4449n4cKFLF26FID8/Pxeib03KZkVEREREZF21dRUtngdSkwk6TEUeIvavSeQkwdANNzA0BrLsZudebC7w3sB2Nfo1Fm/ayMA3kFDAcgrd3p7U5mtgJLqmQXg3nvv5dRTT+Xee+/tVPlHHnmE4uLiVuevueYaSktLWb9+PcuWLePOO++k+oAvKwYSJbMiIiIiItKu+tp9LV4n0yNp3PxpZpSc0u49gUzPbCIc5Dd/SPHt+5xk1uVy9qQ1ma1+ovt2AeAbNASAqePmARDLDDtORiM99TYGrFAoxAsvvMAf//hH7rvvvuz5SCTCpZdeyrRp07jooouIRJraauzYsVRVVbWoZ+PGjbz66qv88Ic/xOVy0sBx48axePHiFuWstXzlK19hxowZHHvssdx///0A7N69m9NOO43Zs2czY8YMnn/+eQCeeOIJ5s+fz5w5c7jkkksIhfruCwhtzSMiIiIiIu1qqKtmcLPXU8cMZqdrKtOGlrZ7T15+IQD+PU2JcDKdxG0hAdkVkdm6CYDcwcOdnxMn0QDgcdIUGwn30Ls4dHtuuIHYmvaH+XaHf9pUhn7jGx2Wefjhh1m8eDGTJ0+mrKyMZcuWcfzxx3PLLbeQm5vLmjVrWLlyJXPmzOmwnrfffpvZs2fjdrs7LPevf/2LFStW8Oabb1JVVcW8efM47bTT+Nvf/saiRYv45je/SSqVIhwOU1VVxQ9/+EOeeuop8vLy+MlPfsIvf/lLvvOd73S5LbpDyayIiIiIiLQr0lDb4vXg8mKevWphh/cUFZQ5G/U025onkoiRiscBMNaSbmxk0r/+55QfNhIA34QJALgTCQDS8VgPvIOB7d577+Xzn/88AJdeein33nsvxx9/PEuWLOFzn/scADNnzmTmzJk98rwXXniByy67DLfbzZAhQzj99NNZunQp8+bN46qrriKRSPDe976X2bNn89xzz7F69WpOOcXppY/H48yfP79H4ugMJbMiIiIiItKuaKjlXrE5nVgoqHzwcPYBgZqme2sjIZKJTHKatqSCTdv2lBWUAeCfNAmAhpPmM+iRR7CHUTJ7sB7U3lBTU8MzzzzDW2+9hTGGVCqFMYaf/exnXa7rmGOO4c033ySVSh20d7Ytp512GkuWLOF///sfV155JV/60pcoKSnhXe96V6fn8vY0zZkVEREREZF2JQ7Y6zWvoOCg95QMKaPRZxhc2TRMuK6hgT3VTnJr0xab6aW982wXg/OKAfCUlDBl+TIi5y5yysUTPfEWBqwHHniAj370o2zdupUtW7awfft2xo0bx/PPP58d+guwatUqVq5c2WFdEyZMYO7cuXz3u9/FZoZ5b9myhccee6xFuQULFnD//feTSqXYt28fS5Ys4YQTTmDr1q0MGTKEa6+9lmuuuYbly5dz0kkn8eKLL7JhwwYAGhsbeeedd3qhJdqmZFZERERERNqVCgdbvM7PP3gy63a7qCzyMLy6KRltCDZA0nltrMVmhhLX5UFpbmG2nCs3F5/HS8qQLX+0uvfee7noootanHv/+9/Pvffeyyc/+UlCoRDTpk3jO9/5Dscff3yLcs23StrvjjvuYO/evUycOJEZM2Zw5ZVXMmjQoBZlLrroImbOnMmsWbM488wz+elPf8rQoUOpqKhg1qxZHHfccdx///18/vOfZ9CgQdx1111cdtllzJw5k/nz53e4fVBP0zBjERERERFpV+qAvV4LCgvbKdlSVXGAcfuaktFgQz3ehNMb60o3rVSccLvwuX0t7jXGkPCASRzdyeyzzz7b6tz+ebJAi9WN90ulUgSDQQrb+D0VFhZy++23tzgXzAz33r8K8f5hzAcOZb7iiiu44oorWtV55plnZveq7WvqmRURERERkXaZSNjpJc1oa//SttQUt5xbG2oMkYg5c2CNtdSGnJWOU6btnt6kG0wi2fWAj3LHHHMM11xzDV6vt79D6XXqmRURERERkXa5YhGiPsjLrMVUXFTUqfuCpcXA7uzrSGOQnEzPrAEimeHLI3MXtnl/0m0wKSWzXdWXw3z7W6/1zBpj/mSMqTTGrGrj2v8ZY6wxpjzz2hhjfmOM2WCMWWmM6XiTJBERERER6RPuaIyYtyltyM3J69R90fKWczGj4RDJzKJPLgvVDc7CUsNLi9u8P+E2uJJKZqV9vTnM+C5g8YEnjTGjgHOAbc1OnwtMyvz3ceCWXoxLREREREQ6yRuPE/U2beVy4PzW9qSGDm/xOhpuJBnfP8wYIo3OHE1/btvJcdJtcB0Gw4z3r/wrvas77dxryay1dglQ08alm4CvAs2jvRC42zpeAYqNMcN6KzYREREREekcbzxO3NcsmXV1Lpn1Dh/T4nUkHCaV2L+aMazetheAQKD9ZNadSnUn5B4TCASorq5WQtvLrLVUV1cTCAS6dF+fzpk1xlwI7LTWvnnAUtEjgO3NXu/InNvNAYwxH8fpvWXIkCFUVFT0WrztCYVC/fLco43aue+pzfuG2rnvqc37jtq6b6m9+87R3Na+WJKopylteH7J8526L1wfoSYfSp0OWPZV7iQ/0jTM+J3tezgTqNxX3aptQ6EQLrfBJJL92u7GGPLy8ti+ffvBCw9Q1to2t/Hpa6lUisbGRrZu3drpe/osmTXG5ALfwBli3G3W2tuA2wDmzp1rFy5ceOjBdVFFRQX98dyjjdq576nN+4baue+pzfuO2rpvqb37ztHc1v/9bopIfh5fuiZKScjyt062Q/VbeVQWNyWzYbOe4vxjAKdnNpV0Ettp02a0atuKigqCHjfetD1q272vDOQ/2325Nc8EYBzwpjFmCzASWG6MGQrsBEY1Kzsyc05ERERERPpRIJEm6fexY5DhrXGdTx9GF5ezu7Spxy+e2Esy0TRn1qbqAcjLa3vf2qTbhTuVzr5uTDSStuk2y8rRqc+SWWvtW9bawdbasdbasThDiedYa/cA/wYuz6xqfBJQb61tNcRYRERERET6jrWWQCJNyt+1uYwAY0sGc99pLn51oZNyfPHBJNGYk8D6kuAzztY8he0ksym3G09mzmx9rJ6T/nYSt664rTtvQ45Qvbk1z73Ay8AUY8wOY8zVHRR/BNgEbABuBz7VW3GJiIiIiEjnhBNhAnGwgZwu31uWm0tNboC1I5yUwwXEI876sJ40jGqoBaAgv7jN+9MeN56k0xO7bJezd+rfVj3a5TjkyNVrc2attZcd5PrYZscW+HRvxSIiIiIiIl1XtX4teTEgJ5cnL36S+kzPame4XAaXzac6P0ljYR55DfXkVTVtdnLcVmcybUF+26sZpzxuvClnFeE3dq9m5qY02wfld//NyBGnL+fMioiIiIjIABJ+/0cA8OQVMTRvKFNKp3Tpfg8FgJeqL3wbgPJ9jaSBUFkeQ+ucRDUnt+0hzNbjxp22pNOWvAcf51v3pzl7deeTaTnyKZkVEREREZEODXcN6tZ9AVcBBhdzT5rp1FNtSbph2HveD0DKQE6g7X1rrdeDN2UJRpPk7nZ6dC95ZiPBp5/uVixy5FEyKyIiIiIiHRpr4t26L99TCtZP2dgRxN2GvBik3FBy3rkAJFw+vO62UxLj9VIeTFO7uxKTSGbPBzu5z60c+ZTMioiIiIhImzYNd+azDv9s95a3+fTs6/jA6P+HcbmoK8kFIOWC3JmzqC8sJ+lyt3tvqtAp3/Dvf+ONJZpiWl7RrVjkyKNkVkRERERE2mRJs3JsLt4RI7p1/4XHzuDb7zoPgOSwcuenC4wxNCy+kOoR49u9t+qS9wBQW7UDTyKVPR/Ythdn/Vg52vXaasYiIiIiIjKweZJpkrltz2ntqrxxo+GtrdRnFi8+5/tf7rD8McNnEfVCXd1OvM2GGefFILJjF7mjupdgy5FDPbMiIiIiItImTzJN0tP+UOCuyB83AYCYt3Pljx08mYgPYsEafPFUi2svPqN5s6JkVkRERERE2uFNpUm5e2Yw56CJxwLgSneu/NCCfCI+Q7oxhDfZMpld++qSHolJBjYlsyIiIiIi0iZv0pLy9kzPbOHwMQDkFZd3qrwxhpjPgysawd+sZzbuAc+2d2iIJjq4W44GSmZFRERERKRN3pQl5enkuOCDCEybRtknr2PBzfd1+p6434cnGsOXbFrwaftwP6Prqnny7b09EpcMXEpmRURERESkTd6kJe3tmWHGxuVi8Oc/36WVkdOBAIF4Al+iaWxyeMoIRtZG2b4v2Kk6av56D/Ft27ocrxz+lMyKiIiIiEgr1lq8SUh7e6ZntjtMXh45iRS+RFPPbO7UafhSENn+9kHvT0ci7P3hD9l25cd6M0zpJ0pmRURERESktUQCF2C9PbM1T3fkFZdTFrS4gH8vHMvUlW8y/NiTAEhve/2g96cjEQBSwc714srAomRWRERERERaSUSdRND6+i+ZLT71VPYVwo4y2DK6FOPzMWnWQgB8+zYf9P50OOz8VNZzROqZAfAiIiIiInJEiTZmejO9/n6LYdolH+Hk5O8BGOMdBEB+YRlJF7gj9Qe9P9JQA0B9MtR7QUq/0XcUIiIiIiLSSuP+ZNbffz2zBb4CPOkSADwuZ+6uMYaI34U3evAENdrgJLwpZT1HJP1aRURERESklcZMImh8Of0aR5FnJABeV1NSHQ14CcTDB723oa4WgKTpndikfymZFRERERGRVsLV+wBIFxT0axwj8sYC4HU1raocDwTIiccPem+o3klmNWf2yKRfq4iIiIiItBLZt9c5KCrp1zgml0wAwOdunsz6yI2lsda2dxsA4foGAJLKeo5I+rWKiIiIiEgrjft2A+AvH9avccweOhUAn7tpmHEiJ0BuzBJLpjq8Nxp0hkqnXRpnfCRSMisiIiIiIq2E9lUCMHjYmH6N49Qxx2Csn8llw7Pnkjl+cmMQjEc7vDcedBaJ0gJQRyZtzSMiIiIiIq0kqquJemHM0JH9GkdZbjHPfvBxiv3F2XPJ3ICTzMaiDMrLb/feZKOTzHY8GFkGKn1HISIiIiIirdXV0ZAL40rL+zsSynLKcLvc2dc2EMCfgHAs1uF9qbCz4rEn3avhST9RMisiIiIiIq14giEaclyU5PTv1jxtcfn9eNIQjDS2uhZOhNnesD3zwklmfcm+jE76ipJZERERERFpJRCK0JDrxZjDb/Ek4/cD0BgKtrr2yac+yXkPnueUi0QA8KQ00PhIpGRWRERERERayQvHaMzxHrxgP3AHAgBEQqFW15ZXLgdwtu2JOAtEeZMcdBsfGXiUzIqIiIiISCv54SSNuYH+DqNN2WQ23DqZ3S+RTmDDTjLrS1pSaSWzRxolsyIiIiIiQjptufW5jTzy1m7S4TD+pCWcd/jNlwXw5uQCEGtsP5mNJWO4MwtEeVOQVDJ7xNHWPCIiIiIiwoZ9IW58dC0A73xmNgDxvLx+jKh93lwnyY5Hwu2W2V4XxB9PAM5qxvFkioDX3W55GXjUMysiIiIiIgSjiexxcs9uACIlJf0VTof298wmI+33zL6xvYpAsuk9pRJa0vhIo2RWRERERERoiCTwFr8GJk546xYA4oP7f4/ZtgRynR7jZGa14ras2FFFTrMENhFXMnuk0TBjERERERFhVc0KAsP+hStnGzUbp5IG0oOH9ndYbcrJzwc6SGatZdu6tQQSlqTLGWacyMyflSOHemZFRERERIRgzJl/6vbvJrhlC7UFUJBX3L9BtSOvwElmw42NbV5fvMxy/Z2/xZOGYKEPgHgHyWyyuprgs892K5ZkbS3peLxb98qhUTIrIiIiIiLUhKt41/I0eakgDVs2srcYjh0ysb/DapMvx0lmI6HWyayxllH7LGEfPPrJc1i3cA4A0US03fq2/vKnbP/0Z7CpVJdjWT//ZCo+el6X75NDp2RWREREREQYvGw51z6e5rIX6/Htq2RfkZsLp53Y32G1yZvjzJmNN7YeZnz145Z3rbA05MKHP3YDab8fgFg7Kx9ba9n7zBOYdLrdMu1JRp3nD3tzZ5fuk56hZFZERERERBj35noAZmxLURyM0VA8iByvv5+japsv1+mZTURb97ae80YagJQLhhTm4fY6w4yj8baHGVevW0lJrVNPONz2sOX2hKsru1ReepaSWRERERGRo5xNpxm7aS8Ao6qcJCFv1JT+DaoD/twCANzxGKm0bXEtmclw3E5Oi8vjBSAej2ATCaxtWX7Fv+/MHjdGu5rM7ulSeelZSmZFRERERI5y9avfIj+S5OUJ+dlzs45b0I8RdSy3sIyUgdxkmFC05ZY7UacjFk9m+qvLm0lmIxHWHjuTyht/0qJ84/MvZo8jXeyZjdTs62Lk0pN6LZk1xvzJGFNpjFnV7NzPjDFrjTErjTEPGmOKm137ujFmgzFmnTFmUW/FJSIiIiIiLb3+yF0AvH3KB7Lnjj/+9H6K5uBcLhfhHBeF8TAN0USLazEnd832zLozQ6WT4SAANX/+c7ZsMpVk7KYQIb8BINLBvrVtCe5rGmbcGNM+tn2tN3tm7wIWH3DuSWCGtXYm8A7wdQBjzHTgUuCYzD2/N8a4ezE2ERERERHBWQCp5qXn2V3kYdGFHyU9qBTrcRMYOqy/Q+tQJMdDfjxK6IAkMup1EtNsMpsZZpxqDLWqIxqqx5eCfYUe53WkdZm2PPK3H/HM/GnUbd/u1G0gkUp3631I9/VaMmutXQLUHHDuCWvt/j9trwAjM8cXAvdZa2PW2s3ABuCE3opNRERERKQvfeSOV7nmz6/3dxht2lS7gfGbG1k9dBSnTxlE8YknE5g4CeM+vPuW4rk+CmJxggcMM45nktlQwHntySwAFW+sb1VHLFjnlPU77zXexoJSbfHccT/DaiH/H/8FIOGBRMoe5C7paZ5+fPZVwP2Z4xE4ye1+OzLnWjHGfBz4OMCQIUOoqKjoxRDbFgqF+uW5Rxu1c99Tm/cNtXPfU5v3HbV131J7951DbesXNjhzMQ/H39eONx/n+BhUjp3Cyy88jznrTMyCU9nWj7F2pr0jfg/5wQgvLV1OeGtTWpPI5OA3fNCNu6KCvfuqmAbs2ryeqZky++sO7trARCAc8AFR3l69ipQr76DxbR8WYNSuBJ5gmF0lMKgBnnmhgiE5h+fqzx0ZyP+O9Esya4z5JpAE7unqvdba24DbAObOnWsXLlzYs8F1QkVFBf3x3KON2rnvqc37htq576nN+47aum+pvfvOIbf1Y/8DOCx/X4/ffTOhABz7oQ+x8MR5/R0O0Ln2fvTOUgJVdYyZOJWFc0Zmzz/2bVg6yVBX5mfhwoU07loDQGGzRHN/3e+8nCIFRPNygAZGDR/eqd/R9vsLgCC3Xjud8tWruey5NDNnTGfaqFFde6OHgYH870ifJ7PGmCuB9wBn2aZ1sXcCzX/zIzPnREREREQGvA+tfYKEywO8u79DaSW5Zx87y+CcmTP6O5Qu8RQXUxiG9eFammYvgi8JcQ9cN+s657XPGW8cC9W1qqOxvo4AEMvNASAe69wCUN6Em4YceC5vD+dnMqpoY9dWQpZD16db8xhjFgNfBS6w1oabXfo3cKkxxm+MGQdMAl7ry9hERERERHrLR9c+wVWrH+nvMNrkDTUSCngpysnp71C6xDtlIrlxiGx4o+X5pMXtHc61M68FmubMJttYACrS4MyjTeQ6Q4uH/v2/nXp2Mpwi7gGXty67r21nE2HpOb25Nc+9wMvAFGPMDmPM1cDvgALgSWPMCmPMrQDW2reBvwOrgceAT1trU70Vm4iIiIiIOHIiMSK5gf4Oo8sKFpwCQOGbS1uc9yUtSW/TAFSfzxlebNvYQzYacrbrSeUXAFC8Zj02Hj/os13xJAkP/OXcvzC59CSnrmj4IHdJT+u1YcbW2svaOP3HDsr/CPhRb8UjIiIiIiItWWvJjyRJ5B180aPDzaAxU3l7MAxdu6bFeV8Skr6mNMfrdxJ10yzZtNYSS6aprqxmGEBBUfZaOhbD7fN1+GxXIknc7WX24NmszikFIBHr3ErI0nP6dJixiIiIiIgcPqprggSSFlNYdPDCh5nynHLeHG8YuXU3qZDT62qtJZCAVGZvWQC/3+mZdcdi2XM2FuOWio28uMrZJ9ZdXJK9Fg0dvIfVnUiS9DiplMvr1J+IK5nta0pmRURERER6UdOap4efbf96EABfSXk/R9J1ud5cVozz40mnCb/yMgCpqDNvNdWsZ9XndeYC+5oNH05HIizfVktO0klw/cVl2Wt19TUHfbYnmSKRSWbdXidxjqtnts8pmRURERER6UWJ1OGZzEbXriXnFzcCUDh6TD9H0z1bhjlDfGMbNjo/a6sAiDebAxwI7E9mE9lz0VAdb+2sw5+OknRBflHzZLa2w2cma2vxx5IkPc6Gtq7MnNxks55f6RtKZkVEREREelE0kcwep9KHT2K7PwG8fZGLGRd+sJ+j6R6Xr4S0gXSmR3b3zvXOhfxB2TKBzJxZf7Lp97Bl124KE//i3e+sIeGB4oLi7LX6hvZ7ZuORMOvnn8y4vTGSXieZde9PZhNKZvuaklkRERERkV4UbGjq6YslDp8NO/atXkcaWDJ9KNPKJ/d3ON2S5y4l5jHYiDPEd9eudQB4i0ZnywQyWw7lxJva/o1NG/n0ay+SH4WUC0oLm+bMNjTUtXpOw2OPs2HRIp77773ZczGXk0p5MkOaUxpm3OeUzIqIiIiI9KKGYFMyG48efNuXvrJr9UqqimDxpA/0dyjdlu8tIeaz2Z7Zyj2bAMgpnpAtk+t3VmouSDUtCrX9xfuYubUpuR3cbJhxOLNdT3O7v/MdElu3Ufm/h5vKZVIpT2aBqVRcPbN9TcmsiIiIiEgvCgbrssfRxsNnL1K7fTO7Sg0fnnlmf4fSbUW+cmJeiIUaAIhU7QMgUDo4W2b/NjuDXYXZc+c+tyl77LIwpLg0+zrS2NDqOSZTx9hVTfeNtQYAb2aYcSpx+HxRcbRQMisiIiIi0osamyWzsXCk/wJpxlpL4b5qdpe6mFQ6rr/D6bZSfxkxD4RD9QDEa5yfQ0YNyZYxHmfP2VRNUw95IAH7Cp0kFAsF+QXZa9Fw657ZuHF6cUtDKd6c7PT0DtvqzK31ZObkpjVnts8pmRURERER6UXNe/qqajpeKbevJPftIxBPUV1agsfl6e9wuq08ZxBxL0QzQ4NtfZCI1zB2WHG2jHE7CzWRTsMF52bPv3nK6c51wONrGoKcDDe2es6+ZF32OO+Sq6ksgiXvc4Yy+3xOMque2b6nZFZEREREpBdFmvX0ff4vL/VjJE1CmZWM48MG5pY8+w3JG0zUa9hS+TarqlbhDUYIBdyMLs1tKpTpmfWNG8egT1yTPV081lkkylgwxlD4j78BkIi2TmYTzbKms9/7EUr/+3cu/9qfnXoDTjJrm239I31DyayIiIiISC+KNeuZ9ac7v+LtNx58i28++FZvhMTGFcsBKJw4o1fq7yvD8gYT94IvYfnkk58h0BgjGPCS62vqbXb5fJR98jqG/+xnFJYOzZ4fO8zZvsdkdksqHT4SgHTUmdf8n43/YXvDdgASzTqvcwoKOHbQsZQEnBWQfX5ntWSbVM9sXxu4YwpERERERAaARLNhq/5UlHgyjc/TcZ9SfTjBg1tuoyQnAPysx2Pat3IZXg8cM/2kHq+7Lw3KK2SPF/wJCEVc5IQTNObktio3+POfB8DGnYQzXVhEeYmzgrHJlPHnOfNmbSyCtZZvvPANCn2FvHjZiyTdBmh7j2B/IJcUkNYw4z6nnlkRERERkV6UDDX1zBYkQ+yqi5BIJbhnzT0k0m0PTb3vjRW4S5bQ6Hmz5+OpqmLUklfYMhhOGze7x+vvS4U5PuIe8CXB48ohP5IkkhNot7zx+Rh2ww1M+tc/KSguds5lclST2WLHxGPZ30tD3PndJd3tx+Df/7yEhhn3NSWzIiIiIiK9KNVs39LSaJCtNWGWVy7nxtdu5LXdr7Uqn25sxPz6G1zxdIJJO3t+wajNb72EO235z4kuyvOKe7z+vpQf8BDN9MzmeALkRyzR3NY9s80Vv+8ifCNHUFzobMeTTWaNIewzuKNRYqmWKxO7MmWem2E4UMCfeV4qeWhvRrpMyayIiIiISG9qbBpmXBJtYFtNmGjSmTu7u3F3q+IbX1jCgpU7OO91y+f+FyLWwz1+72xYD8Do8Rf2aL39oSjHS9QHuTHIiafIi0IiL79T9/oyw4o9pqnbNeJ34Y/GiKVifO0fKeatSwPgTcLbo+H3726dPuXkOnNm0TDjPqdkVkRERESkF5mws6BQKACDUnvYVt3Ivsp9fOyJFFt2bGxVfuWmVQBUHD+YQQ1w5U1nEE+meyye+so9AJw07cweq7O/5Ps9vD7ZhTcFpy2twQWk8gs7da8rswoxtmkubNjvxh+NE42HOX6D5Sv/ctrdl7SEcgzW1bpn1tesZ3bXXXcQXNXzQ8OlbUpmRURERER6kTsSIeKFaHEupcldbK0O0fDa25y7zBKrWN6qfKS+BoANxx9DysAJK2p41y9/yd6Gzq+E3JFYbRUAY8dM7JH6+tuGYc7PofsizkFRSafuM20ks9GAh5xYglBDfYuy3iTE25k3683sM5tX10D9jb/gtdt/3Png5ZAomRURERER6UWeaJSI3xAYN47R++JsaFhNMhgCoGjzrlbl4yEnkUoPHs7bYwyLl1t+ct8f+b9ffJv6yKEPOU7X1RL3wLjhow65rsPBLYtuIw0Uhpxhvt6isk7d58os+OQqKMiei/l95MSSNNTVtSjrTUHc23Y9bo+XlIFx67YBEK+va7ug9DglsyIiIiIivcgbjRP2uRh1+rkMrYN0fQWpkJPMjtpZ36p8IuisoPveWR/gnXKnl7EoDP/3r/9y48+vP+R43MEgDTkGr7uDJXoHkPkjTibpgeKgk+j7ywZ36j7j9TLk6/+Psff+LXsuluMnN5YieEDPrC9hSbhhfNH4NutKuaG83lkAyoTC3Xkb0g1KZkVEREREepE3Gifqc1M8fwEAx1StJB50VjgeuzfBnmonebXxOCt+dSu1VWtJuuC0aRP41HfvJjKsjPI7bqY+z8P8Z/53yPH4wxHCAc8h13M4SbgNJSFnuHDBoGGdvq/0iivwT5iQfZ3MCZAbszQ2NG2nZK3FmwKPbxB3Lb6rzXpqCpq+GEjVR7oY/aGx1mb3zz3aKJkVEREREelFBY1xwgEP/kkTieXncuz2KOGGnQD4UrDsuRcA2H3/Pfhv/TUXLmsk7gW3203ZpAnMefYFBp16JjtGllMQPvgwY5tIYJPtbxPjj8WJ+I+sZDblNuRldtMpGTyi2/Ukc3PIjdkWw4xjqRi+BPj9gykJtDMfN7MuVNIFvh4YCt4VW++7i7UzZxHevqVPn3s4UDIrIiIiItJLYrXVjNwbZdOwEozLRXLmsRyz1eJO7M2W2fXaSwC8+vYL2XO5sVZVkczPoyCaJp3ueGXj3d/6Fts//el2r/vjSeK+IyuZTbidtCbpgsFDhne7Hm9pKZ40VG7ZnD0XizY6SZPP3+59tVPmALByVD450b7db/btB/8EwKoX/92nzz0cKJkVEREREeklKx77Ky5g++iTACg46WTKg3D+a86Q2IgPTn3onyQbGmjctrXjygqKyYvBzsxqxG2xiQTBp54msXNnu2X88RRxv6/L7+VwlnQ7XaOhAJTl53a7ntJxzpDj5JZ3sueCmSHHxt9+Mjvluz/nP1/4BQ3DSsiLpbDNVkjubfUeJ6Wr2r2vz555uFAyKyIiIiLSS3ZVPEbEC7nT3gPA8FMWtLi+eYjzc9kTj1Gwt+NkxF1cCsBzqx9tt0zkzTdJNzYSC4danL99ySa++eBbAOTEUiQC7SdmA1Eyk9AFAy6KctpZdrgTxk+bBUBhZVPPeTDoLAbVUTJ7zNjBfPW686Agj0AC6hv6bt5s0Ou83107lMyKiIiIiEgPCCfCFL21lVXDSjh7xhgA8qdMalHmj+c4Cwe9svEphlfHWXr8JMb9+2HGPfxQq/pySgcBcPfSn7X7zNCLLwLQEKxucf4Xr97Ew1t/5NQTt6T277F6hEhlhhmHcjzkH8J84NGTnGR2eG3TlwGhkLNYl8t/8DazeXkANNTUdjuGrrJ5OQBU79vC5575PNFkz+xHPBAomRURERER6QVvvvU0w2osKwdP5dRJTiJqPE2JVtQL0cxo3+jWLeRHoXDiDAKTJxOYMqVVfdPGzwbguI2WZXuXcfZfT2PVT79DKtQIQGzDBqpvuRUAdyLV4t6fPvIU/7j1TaoawuQkwOZ0fyju4SibzAa8GGO6XU/+kBHEPTCitqn9wrU1AHg60WaugkIA6vf1XS+pK+289/KGbTy7/Rm2NhxkuPoRRMmsiIiIiEgviL/jzLtMTJ7ZorfwCx/4IZ//uJvrPuMmkklmh+zYAcCMeQta1bPfpOOPA2DxsjTXP/99vvm7fbj/9A+qHvwHAO9c9N5sWW+y5ZzNSbudnxf+8p/OQW5et9/X4SjlcXq4GwOHNhfYGENtka/FAlzBbZsA8ARyDnq/p6gIgLp9ew4pjq5wZ37XJ6+1XPRimi11R89wYyWzIiIiIiK9oHZvJQDHTJnY4vz/vnsRu8sM4YDh3x9+EoAJe5yEZNTsY9utzzdyJOEPX83QOhj16gaG1jnnX9z6NgCeTG/sS9MM/iRtLkJUXLsSgGTgyExmw7mHPnw6XFrQ4vWS5XcA4M09eM+sr6gYgFBN5SHH0VmuRIKwH54/xnDZkjTVz7xw8JuOEEpmRURERER6QV2ls+rwcdNbJrMed9NH8EGFw4i7obwB4h4XvuEdbysz4dwzAbj6iabteep27cImk6QMPDjfsHWwM8w2HY+3uv/ydf8DIL+4uOtv6DDmzjRHrAd6nM2QQS1eD6lzvhTwd2KYcU5JGQCRuuqDlOw5JpEk5oHKz3yU+lworHi1z57d35TMioiIiIj0gmSDs3DQ+NGjW127fv71fP/k7wMQ8TvJZ/3gYoyr44/nxXPn8Ph7PkbKwNsjvdTlgqu2htiu3bgt7C02lOVNBaCxwZlL23xf2plbnMTsvIsvP8R3d3jJjTu90pHc/EOuq2BMy9/XkDrnZyD/4HUXlDmJcKK+7xaAciUTJDwuvnjKF6kqBDJbCR0NjqzdkkVEREREDhfBEGEflBa2nmv5/snvzx5HfZaiMLinTmpVri1jP/xhri6uxudO8qNHHsfX0MDWNasAGDHm3fj2Ob2C5/39NH79vnuY4h0JwDPnHceVl34BLOSNbb3A1EDmjycAqPUeejJbMmYi8ASNfgjEYUSV8wVATicS5ZJBQwFINtQdchyd5U4mSbhd5PkCNPpdFIbDffbs/qaeWRERERGRXuBpDNMYcB10dd3BzjamTD59UafqPWPqYCLh08lxvZtQYYDi+kZ2rnPmzeaNHocns+2OLwnffe5W9u3aCUC6qJC8E04g78QTuvmODl+eqLNiUw3jD7muQWOnO3WmoHJSeXZucl4nembLMtsnzfn3k0RijYccS2e4EykSbufPWMTvxRdpPbz8SKVkVkRERESkF/jCURoD7oOXG+UMay1eeFan6i3K8XLWtMFMGpzP3nGDGFMVY9+ypaQNTJ8xD29mbqc3BeFElLpd250bi0u790YGgMKE084fe9e7Drmu4rFOD7k/CRMuvCx7Pjez7U6H9+YUEsqsQVW7e/Mhx9IZ7mSKpMdJ62I5fgIxJbMiIiIiInIIcqNxIgHvQcuNvv02xj/6CN4hgztd928uO45bP3o8ybkzcQHHvLaSqgLDyeNnZRcquvHOFEP31FG1ydlaxjtsWLfex0BgYs4w4zPnTz3kujxDnaHCvjFjGLb4wuz5gvyC9m7JyvPm8YdznRRr9/ZthxxLe6y17Aw5Pe6eZIqk20nmkzn55EZTHd16RFEyKyIiIiLSC/zxFDH/wZNZ35gx+MeN61rdHjd+j5vx808jGAC3hcriAH6Pl5zMcNhAAr50zztsWPM6ACfOnd/1NzFA5Bx/PACuvENfzdjl8zHy9zcz+s934Rsxgt2jnDo70zMbcAdoyHWG/O7N7B18qFY+/jzPnHI2jfWh7LlnNj7O1356Dt+t+AbuVDLbM2vyCggkLdFItEeefbhTMisiIiIi0gv8iRRJn69Xn3HMkGmsGptJngY7SWxRUVH2el40jX/XBoIBw+xxx/dqLP1p1B9uZfwjjxx0fnJnFZx5Jt5MD23ladNoyAF/7sF7Zo0xBDPrfdXt3tUjsez+8Q8ZVr2TNS++nj0Xf7KCb/49zeL/e5BJu+IkM6PZPYXOUPKt27f3yLMPd0pmRURERER6gT+R7vVkdlThKLYNcj7S24AzvLigoOVCRXPW1VBbFOixRO9w5M7Pxz++a73bnXXsdV9jyW8+TI6/cysl//w9dwEQrqrqkefHXPsA2NGwKXuucY9T9848Z8GpMXucXtui8iEArN38To88+3DXa8msMeZPxphKY8yqZudKjTFPGmPWZ36WZM4bY8xvjDEbjDErjTFzeisuEREREZG+EEhaUr5Arz7D6/Ly0gkjeXGa4c2Tnfmi/vKmubeNfmcho7qygw+RlbYdM2gGX1nwrU5/GTB0hLOgV6q2Z/aatS5na6B4smkubLCqjrSB0pv+BIAn6aR1I4Y72zBt3t43i0/1t97smb0LWHzAuf8HPG2tnQQ8nXkNcC4wKfPfx4FbejEuEREREZFeFUvG8Mch3cvJLEBe8Xh+/V43jfllAIyfelL22usT/AA0Dinv9TjEUZRXSn0u+GpqeqQ+m0miE4lE9pyrMUzYD6fOGs9Dl13Lpm/+FIDhw8cCULW3Z+brHu56LZm11i4BDvwNXgj8OXP8Z+C9zc7fbR2vAMXGmCN3uTUREREROaKFwrW4LVh/Tq8/6+RRxwBw0linRzCv2XDYylnHAWBHjOj1OMThcXnYMcjNoD09m8zGIrGmZ4SjhP0ufB4XX//ul7j0A+8GoGzQKABSoZ4Z4ny46+s5s0Ostbszx3uAIZnjEUDzWco7MudERERERAacYF0mmQgc+uq6B3P88GkATBk8JHtuzL1/Y9Qdd3DxtV/lvoU+pl38gV6PQ5rsHpLL8JoQ6VTnt8m5++27Wbpnaavz+5PZeLgxe84bidHob53K5ZY4c2hdkZ4Z4ny48/TXg6211hhju3qfMebjOEORGTJkCBUVFT0d2kGFQqF+ee7RRu3c99TmfUPt3PfU5n1Hbd231N59p6ttvXP3W8wBgol0r/+OYukYc3LnEN8Yp2LLAc96Zy8LP/gr4nsSVOzp3Th60kD/s11ZXkROIsij9z5A3sghB78B2HTPT3hiGFxz5s0tzqdwUqaqPbuybeILxwj73a3ayEQiDAZcjfWdbr+B3NZ9nczuNcYMs9buzgwjrsyc3wmMalZuZOZcK9ba24DbAObOnWsXLlzYi+G2raKigv547tFG7dz31OZ9Q+3c99TmfUdt3bfU3n2nq2394gvOENPiwcP75Hd0Luf2+jP60kD/s/38O/+ER3YwDC9zOvk+hlyXBmDa91uW/8dPnR7YXJ832yZPfDtJZZG3VRvZdJrVBvISiU6330Bu674eZvxv4IrM8RXAw83OX55Z1fgkoL7ZcGQRERERkQElHKwDwJ3Tue1c5MhSMn0GaaDm7TcPuS6LM8y4MRjKnsuJpYgFvK3KGpeLiN9NIBZrde1I1Jtb89wLvAxMMcbsMMZcDdwIvMsYsx44O/Ma4BFgE7ABuB34VG/FJSIiInKkSqUt4Xiyv8MQINHozG905fT+nFk5/EwdOZk9JZDcuKZT5a1tf/ZlKrMjULBxOw1RZ0VjXyJNqp09jCMBDzmxeNcCHqB6czXjy6y1w6y1XmvtSGvtH6211dbas6y1k6y1Z1trazJlrbX209baCdbaY621r/dWXCIiIiIDwc7QTlLpzi8eA/B/f1/B9O883ksRSVfEw2EA3LnqmT0ajSsezfbBhjEr3+Ifi6bTGA52WD6Zbv9LqP0LQAU8O1m7bysAvmSatLd1zyxALOAjL3Z0fKnV18OMRUREROQgqsK1fO2n53Dy7bN4aMNDnb7vnadf5ENrnyB0lHyQPZylIhEAfLnqmT0aDc8fztZBThI6Y6tlwzsd99AmYuH2L2Z6bX1JSygexlqLLwlpn7/N4rEcP7mxVIe9vUcKJbMiIiIih5l31q/jm39Pc9dNKZ55/M+dvu+izY/x0bVPsLeqoRejk85IxjLJbB9szSOHnxxPDrXFudnX9aF6Gh57jLUzZ5HOfNHRXDza2Orcfu6UszDUzM2WxngUG4/jskA7yWwyJ0BuLE0kkTi0NzEAKJkVEREROczUbN2cPZ7yYl3n7gnFOLZmIwA7Nq7rjbCkC1JRZwEe9cwevZJFZdnj+poqtv7kBmw8Tmjn1lZlE9HWCe5+nqSTzE7aDdE9u5sWgvIH2iyfys0lLwY1kY6HNh8JlMyKiIiIHGbq9zg7FMY8MGlHfafuWbv0TYoyIxW3bljWW6FJJ6VjUQACmjN71Mof3pTMButrqI7UAbBs/fJWZZsPM95e03S8dk9DtmcWIFmzj/qGWgCMP6fN59r8fHKjUNV45I/QUDIrIiIicpiJVe4B4OVJOYyojJBqOPiH0s3P/Sd7XL99ba/FJp2TzmyNkqNk9qgVLnQ3HQfrsNZJvXbt3NiqbPOe2cU3Oou4ba8J86HbX8WbThPNrPWUrKulvsHZw9gVaDuZdRUUkhuHvfVVPfI+DmdKZkVERET6ybKttdzzaushh+ka50PoyqmjcAHh5a17cpr7710/ZM59DxDKjDp011S3uL50z1JqojXsadxDInXkz6M7HNhMMque2aPX58/6dvY4FqyDzKrEVXs2tyqbiDclsz98/hYAXntuGR9bchdFsTShQmcbHv/W7SR/51z3tDMfO1Ds9AhX7tt16G/iMKdkVkRERKSfXPKnB/ju0/e0Ou+urSPqheC0+SRdUPnycx3WU/j7vwEQ80LSBe7GpmGK0WSUa564hoX3nsZDV5zJnfd8u71qpB2JXbsovvlmXr/+i/z2z58mmowe9B6b2eczL7/t3jM58k0onYT3jNMBSIZDWJzVhZN1da3KJpotCjW1djsA0eWPcPb25ZTVpYgWOn+Opvz7OXwvvAKAt5352AVl5QDU7dvdM2/kMKZkVkRERKSf5I3/DcWD/sbOime46ebLWb1rBQAlu/axs8zFsSOOZ9NQqHn1lTbvt9byt1e3sWFwAQD3nT6RsN/gbfbBOBgPkrZpZm62nL7KMuivFb39to44Nc8+jf+tVeTc/xhn//gZ1i1/+qD32HichBvycnx9EKEcrkZcfz0Au/dUZ5NZd7D1ysWNjW2ci+3LHg8ZeQwAvmg8e86X03avf8mQ4c79VXu7F/QAomRWREREpJ+MqLL84o4UDdd9msW/XcraP9+MTacZtbuObcMKuWD6HNaOdBNYvy07B7O57cEU1z//S6xJsqMMLv/sbZlktqlsXcyZb3v+a8MA2FVe0m48sU2bqPlz57cCOho0rHqLmh/cAMD33z0JgN3bth38xniCuBvyfO6Dl5Ujlr+gEICyUCXFEWf/Z19j65WLo+E29plNOImr/8L3kL/4fJIHZG7+vII2nzlk5BgAUjX72rx+JFEyKyIiItJPbro9xeB62FEGdXkQX/UO1evWkxtP0zB2NFOHlrJuWBmeVJrQsxWt7n+mah3+QU8TSEeIe3ycMGYYYb8bf7Pem10NtYzZa5m5xVkhOdBBbrX1/77C3h/fSHTNmp5+qwPWP+/8Zfb4mFHvAaCq8uBJgiuRIOEx5Po8vRabHP5MIIA18J5le/FkViX2Nvv7uV8k0pTM1uQ7oy5MZp/Ywdd/l+JF59KQCyG/yZbLyS9q85mFQ52eWVtX22Pv43ClZFZERESkn4V9bjaV5VOyvYa3nn0SgPxj52KMoX7iMSRdsOd732t136rYa/gSljGVllimBzAS8BCINS3ytCdYy/teShMPBIh4wZtMthvHrr1Owrvuz3/tybc3oDV4nGHCT88ynHeCM9Qz3IkkwRVPknAbfB593D6aGZcLd24eSb+HGz7gYns5+OOtF2GLRZ152GtGQm4MwvEUJhEnZSA3kIvf6+aWxX5ueU9TMpubX9jmM90lpQB4gp3b1msg098uERERkX6w++abs8fuaBG15eWU1yWpWfEKUS/MPuksAKaNm8O/TzKkamvZtmM1f1/3d/6x5j5eWfca0cBKfvqnFGVBiHudHsBowEMg2pSwVu3bzYlrLQ3vOpPafBfueNvJbHLfPkoanA+/8Sf+h01o1WOAvJTTXrfPPIeRw50er0QnkgRXMklCiawAQ7/3PSbecx8XfeDbxHw+/G38HYxl5rnX5RsCCaipDWKSCRIecBkXfo+LN8bl8M6IpmS2pLC8zee58nKJuyEQaj0P90ijv2EiIiIy4P37yx/gv588v7/D6JLNLz2ZPZ523rvJLSslNw5569ezeYjhhNEzADhvyjw2DnM+wH7uLx/gB6/8gB0/+D5FF17BR56LMdzZchIXTpmY30durOnDcmrjZlxA4Pi5JDwuPIm2k9n7f/BNPCn4yxku8sMx1v/vv73wrgceE3USgmDwNMoHDQEgFQy2W37fzTez/cv/x7BdtUpmBYCi97ybnBnHcOnUS0kFCgjEUq3KJCJOz2xtZk2nHTs2Y5JJkplpAR63i2TtfOqCC7L3DB07sc3nGWMI5XrIbWxjHu4RRn/DREREZECrj9Uz6b9vMeHZDaTSrT8kHq5iu3aybLyPxtvuYfz/+wr+Umdo4JjdDWwdWogvM7z1hBHHsNszHYAf/znFd+4sZPFyZ1XUC1+xpNzOxzlfwpmPF8/xkRdNY61TxrNtBwDlM2YR95g2k9nKqgbyVyxjb7GLBZ+7jbo8ePvu3/fiux84TCRC1AvfP7kId04OSReYcNs9XjadpvJPfyT030cYVptmUH3ruZFydEsF/OTEm/5+7peM7U9mnS+lKndvxZVIknQ39cS66s+hMXhi9nV5advDjAFCeX7ywkf+nz8lsyIiIjKgvVm5Knu8uX5zP0bSNQW1YSrz8jn25FkYr5eiQYOz1zbOmpo99rg8LDrhOwR9uZjRYxgRb/r49qt3n8AL170XAF/cSeTrhhYQSFr++eS9APh3VxJ3w9BJE4l7XXgTrRP+dd/5HpMrw1BYwLnTTmHZ9MFMXLuDWFsrrB5lXNEoUZ9hZKEbYwwRn8Edbb0aLUB840ZcjRHuO9nZ/zP3yM8lpIvSOQFyEpaGzCJQexv3Ek6ESWSS2aljzwOgtnIrrpQz73o/n8dFnrdpOx5jDO2J5gcojBz5UwWUzIqIiMiA9sa6ppV3d+1Y24+RdF4yFCIvmiZUVIrf44wjHDpihHPNBTPPeG+L8p8/bwYzl77M1Cceg898CYDNxSUsftflFGRWLvVlelw3jXYSrVefvhUAV0MNDTlucvw+Z5hxsnUy61q+BICyYmcYLVNm4UnDpreW9+C7Hpg80RhRb1PSEPW7OWP5HlaftZDXr/oU27Y17eW54sXnAbAnngtAbSDQt8HKYc/k5RKIw5adu1j74KOc/cDZfPTRj0Jm79mS8c7Q4drK3UQbYy2S2YDXxZzRw1g7Eh4+qf1EFiCen0dhJE3F1hdYV7Ou995QP1MyKyIiIgNa/eYN2ePwjt39GEnnVW9xku5U+bDsueLBznHUBx+f+94W5Y0xBPzOsOOpp58MgOuksykJuCkf4iTB/swwY9f4MaSBETV+AHyNQRpznOOEx42vjZ7ZdNrZl3baL5xFqfxjnf1UV7z+KMF4+/NDjwbeeJyor+kjc8zvBZwetbyXnuWBHzUt5LV5w0oAFsw9g813/JPY7X/v22DlsOcrKCQnBk//4Cbs179EQdjyTu07+HbtoT4Xjpl1AgAbNmzBm06RcDUlrd9+z3S+/K5j+M5HPdxzRsf7F6eKCikMWz5b8Uku/s/Fvfqe+pOSWRERERnQUru2Z4+rm/WSHc52bXSGRgeGjc+eKy51kllXbm6H95aOGMLIp57hnJ99G4DRk6eyZTDc8+5iAG4846eEcsAfirGtYRt5kTjRPGdoYsLrxptMt6gvUVdHeUOC/505Ad/IkQAMmuosPrV65UN89pnPHuK7Hdi8sQSxZnvFRvNzAPjP8blsHgKj3nmCxsyCW4m9O4i7YfaU4zjv1OmcMW9Sv8Qsh6/84mLcFsZvfgWAQGYoesHeSnaVehk1crLzOhHEk0q36Jl9z8zhzBxZ3KnnuEpKCSTAm7AHLzyAKZkVERGRAc2/b1/2OB5uey7j4Wbnemdo9JDxM7LnSkY5wwvHfub/Dnp/wchhuLxOD+GQ4sF89WoP6ZOdRaJKAiWEcv3kNoa44f5PMWWnxVMwGnCS2f0LRe23+hVniLFr4vTsuYkjJ1GTDx96Lk3qpaXdfZtHBH882SKZfWeGk/AnRp5MzZihjKltYO3uBgBctdXUFLgYlF/SL7HK4a9wsDM3fkqlM+Lh5ltSfOjZFINrQlSVFeLKzSXhhoJkCB+NJN2t07U/LfoT/7vofx0+x1/mbNsztPbITmg9By8CxpjJwC3AEGvtDGPMTOACa+0PezU6ERERkYMoqGna8zMdj/VjJJ0X2raFlIFpU4/LnnPn5zNt7ZoO7mpbaaCUm8+6mVmDZmXPhfMClDXU8/lfbASgyO185Et6PfgyPbPxeISGuko2Ll3CNGD0cadl759QNoTXMx1CX30gDd/vclhHjNxokn2lOdnXr50wiieHvM3kqZPwJ9MUvLaHtRvf4vixp5NXH6Qu39eP0crhLn/UGA5MLd/7igUsyREjMcbQGHBTlKrCk7YkPOlWdcwbOu+gz8kb7Mx//8UfU2wZDFxz6LEfjjrbM3s78HUgAWCtXQlc2ltBiYiIiHRWaV2YRr8zfywdHxjLx9rKSqoLXEwaVt4j9Z028jSK/EXZ18nCfCbsabpeaJx5skmvF3/CYlMplnz5CvadtpiGVS8QDMApc07Pls/xeglkFkKNHuW5WVFjklhBQfb1xCG57Cw3nDhuMOVTnC8QqjYsc8oGowQL8volThkYCsaMb/fapDmzAWjM8XHWm5bp2yHZRjLbGeXDR2aPx1Z2q4oBobPJbK619rUDzrW947aIiIhIH4kn4wxqSLKv3Ek20rGB0TObW9NAVYGfsrzeyRRnTjkegH9MXMhvZ72PkT9wulZrSnNxW1i/5iVGPPEWACe+Wc/WwV6GFRW0qONn7x4KgAWSqe59oB7odu+rJCcBprTpS4ePz7qaaaXTOHf8OYyc4AzNDlduI51OUxpKESkqaq86EYpGT2z32qhjnT1kwzlNg2eT7m4msyNGd+u+gaazyWyVMWYCzr9nGGMuBgbGcoEiIiJyxNpUs4tB9RAcktmjNXHoyWx1pBpre3eOWXF9lPrCgg73iTwUg89eTMHixZz5028z/4sfp2ziWAB2lTsfkn/5jy+TaLYY6s5BOa3qmHriT7nzlBEURGHN+iN3a4+OrFqzAoC8QSOy58YUjuHv5/+d0kApozLJLNW7qdu3A18SEqU909suR6a8/BK2DTIsm9QyDUu6YPzUk5zjZgmst/Xi451SOmxMt2McSDqbzH4a+AMw1RizE/gC8MneCkpERESOXmtr1rKmunNzR9/ZsNoZDjs688EtnjikZ9/x5j0s/PtCXtr10iHV0x5rLd967G5Kg2kipYN65RkABWecwchf3cSp04fz0ZOaPtSuK3CS/QmbgnhTEPR7eWbCKDYf/4lWdVz/nrkcd8KZALyz/OhcBGrjJmfV6UEjx7V53V9UQtQL3tpqtm1YDYCrfGifxScDjzGGh7+7kK2Xn9PifE2ZD5/f+VIpP12WPT9xd/e+WMspbv9Lld7+sq4vdSqZtdZustaeDQwCplprT7XWbunVyEREROSo9KF/XcyHH7ykU2Ur1zsJRMnkTA9Z4tCS2T+8/me8Scu6qm2HVE973tqzndBjP8WThrzRJ/TKMzriK08TCsCZK50Ps/dd8TmKvn07X7rig63KulyG8cfNcV5UPMu+3/ym3z4EhxNhUuludlEdgi3rXgRg3rFt/66MMdTl+Qk07GNXphc3Z/jYPopOBqrfn/173nfsh1qciwxvtgJ2wps9THa8nWy7mo/6SDUbAFL16uusnDef3a+v6F7Fh5lOJbPGmBuMMcXW2kZrbdAYU2KM0UrGIiIi0uNuuTnFzb/vOHGx1rLjpaeo3rwCgLEzZpM2YA4xmf3IE1Xc87MU29ZtPaR62lIVqeK6h87jmsdTvD58JMd8+Moef8bBRNL1VBVCbgx2lngpmzyfj5w0hjFlbS9aNHbaLBJumL7kFap+fws2HGbrkkcJ7dnRdzEnI5z4txP58Ws/7rNnvrWjnmnf+TfHLV9LbYGP4hkz2y0bHzySEVVxwvf/hbo8GHH8oj6LUwauoqKW2ze5xjbNcR1R4Myl//upLr71vrZHBXTG9mucP4t7i5sy4pUvvYEvVM/qT32BFev3tHfrgNHZYcbnWmvr9r+w1tYC5/VKRCIiInLUSqQSFEagONzxULjQyhUEr/osF9znrCI7dtoMZw7oISSz//7JJznnTWef2tLVG7t8fzocJllT0+71O9/4L8NrwG2h7IqLmTdxcLdj7a4cTw7VhU43zetjpvD+uaM6LF+eN5g9JU3dOmtWVhD6xJdY8ouv9mqczf3k+XsBeGTTo332zD89ej+/rPgaM7em2XXWGRivt92y0xecyeh9cMz2NH87cTTHjh7WZ3HKwJVX2DKZLZw4NXs87P0XAvBQwVfZGLyu288458u/YtkxQzGZf0s/9dSnWLL1LgCGN+xl5U9+1e26DxedTWbdxhj//hfGmBzA30F5ERERkS7bU7kpe9wYD7Vb7p0Nr2eP63JdeAvySbjBlez+ZguT7qzIHttQiM31m3lz35udvn/PL37O5ksvbTMJDz7zDP99638MrnOulU84pttxHoo/nvNHEmWlAFz6uS8xdWhhh+XdLjd7yppWXH72D9/BZaFx5/ZejbO5p9YuAWsp8Y04eOEeMv7tiux2JvM/9ZUOy5ac5Oz5GbvyWj757XsYVtR6MS2RA+UEWq4ePmJ6096xJZdfzpTly6j1lwPdHGeckfa48aYskWSE53c+TypSB8Du4gB5ewb+wm6egxcB4B7gaWPMnZnXHwP+3DshiYiIyNFq39IX2J8KVO1cT/74OW2W27RtMzMyx9VFTrKV9Bhcia4ns9uD2wknwi3OuRrD/OWGa8ivrGfWna+3c2dLq1c+x4htu4jv3IF/ZFOPZ3zHDnZ86tN8qwxGVjvnRuyf49vHxhaN5ZKP/4T6of9h+PyTOnVPzeACWOcsHHXy8kw7Vddhre211Zj3S6fTfPevr5M2Kb53bXWvPuvmFTdT6Cvko9M/ikk5w9zvnT2Z74/uOInOO/VUJjz2KN4xY3q9PeTI4XO33JZr+Mymv4/GGExuLhMH57PomCGH9JyUx4s3ZbOL6gUSlpSBYG6UZHIdm+o2HaSGw1unkllr7U+MMSuBszKnfmCtfbz3whIREZGjUfLeh7PHVZvXMLadZDZYtTd7XF+UC0DCbXB3o2f25v+3mLF7Lac3O2cb93HJs7UANDTWUphX0vbNzcRqnPK33no7n7z+enweZwBcss45vz+RrSyCcSX9txdp/imnkH/KKZ0uv2vyCHi+CoCcuHOuqDFJJBkh15vbGyFmrXzjaUZWO4ll+d72h3D3hHtevoWxey2nfP4UvPV1hH1w4U/uOuh9xhh8Y8f2amxyZCt87B+4CwpanX/qS6e3Ubpr0l4P3hS8VeXsKx2IQ9QHUZ/Bl7BEUpFDfkZ/6uwwY6y1j1prv5z5T4msiIiI9LjqPVXsdEbBsunlZ1pdT6aT/HX1XwnWNA1zTfucxYsSboMr2fUVb694Os3pq1oODc4N1mWPl738bKfqyQk7mV767Rd5/O2mhVVWb3g7e/zJMz/HJ07/NgHvoQ0d7EsNUye1WA116+TRlIRgX2Ndjz5nZ2gnN6+4mbRt2mPztf/dlz0evTfeqge9J/3gLym+fV+a//7jDnKCQerzPBw/5uBfYoh0143fmMCt57ooGD764IW7yXq9eJOwbM8bAPgTTjIb94A/6axTMJB1mMwaY17I/AwaYxqa/Rc0xjT0TYgiIiJytHAlE+wq9bCvwIN9YyVb6rewqb5pGNwbe5bx7F9/jK1rWk03PzARgKTHhTt1aNu3xC95D3uLvMxb35Tcbn3lxYPel0wnyY84z55euZfaRmdYbjoc5vXnXwPg9R98jhmnnkjU1X+9st0xrGAUX72qKfmunzSW/Cjsqt7bwV2dk0gnssnr9176Hre+eSurq1dnr7vfepNgwEXC4+Zdb6SpDlcd8jPbU5DJk10vPE9hMEJDnpaHkd51x4cf5JPf/ieFvo7nrh8K6/XhTcGyPcsYuXUIx220RL2Qn3MM/gTEU/Fee3Zf6DCZtdaemvlZYK0tbPZfgbW291pdREREjkqeVIKEy8dbg4cydlOI8x98Dxc+dGH2es3zL/Hlf6U5e0VTspl39mIAkm4Xnm70zO6XMjDu/32dugIfviTsGDuCiA/Cq5eRTDcNXw4nwlz/0vXsDO3MnttYs568KES9LkZXp9hTtQKAtZ/7Eqf/z1mFd9Kkmfz2suPYcuO7ux1jf5haOp1os+l9nmKn67xq7+5WZR/f+DwfeuizLXpXO3LhL4/j+49lFliyTsK8N+wkyVsbtjJxWyObRo9k0wnHMXkX7Fiz8hDeSfuaL9p11mtVTNoRJTh0eK88S2Q/r9vL1NKpBy94CGxmJe5EqJaf3buL0hCUhgB/AH8CYqlYrz6/tx10mLExxm2MWdsXwYiIiMjRzZNMgdfHWyXHUhiBkQd0xDUsc+Z9uS1ER4/H9+zLnHP5BQAk3QZ30kmioslop4akNk+69hW7KMwrJRZwMrdJ3/4Bm4fAGcv3ct2Ni1hbvR6Av66+n3+u/yf/Wbcke+/Tq/6NC9g9JbOw05qXsOk05oXnsmWmTJg6IBcImlY2tUUyGygpA6Cusqln9tHNj7KlfgtffuFTvFVfwfqq1onugeqjdfzijhRnfvcRAKo2pzjrjTRv7nT2+K145b8MrgfvcaeSPPVkALZv6p3FamKpGIEE1Oc4CbULOO17v+yVZ4n0KZ8zwuDktRZ35kubnDiYQI4z5Dh5hCez1toUsM4Y03uDuUVEREQAT8qS9nqpn+gkLx+qSHP8+jRL1u/mW3cuwbdhOzvKwP+JTzL6skuYMKw4e2/S48KTGWZ8/kPnc+LfTjzo82qDTSvkVpc7ixkNff9VbL74QsaeMp8N75kFwEWP7eaj//4E8VScu1Y5GzpsqGpakKhyu7MvbXq6s2CVv7aO1S//t8WzivNLu9QWh4uyvDxq9lyVfV1QNgiAcK2zd421lq8u+SrnP3Q+5yxL86tbk2x++YWD1vvOmy8BMKgBqmr2cOFTm/nEY2kaljnDshteWwXA1LPPZtzEKQBUb++dLYHqgnV4U7B+9pTsuTETJvbKs0T6kvE5PbOLlqUJ5zYtMuXKycWXgFB8YC8A1dmteUqAt40xrwGN+09aay/olahERETkqORLpUl7PQybOoHqfA9zNySZu8Fy447f8P9eeQiA1yZ5OOvzn8XlatnLGcz3MW1TEBuPs6dxTxu1t7Zzxya8meP0KCdJO/1j12Svf/7Td1E78iHGf/N7zFm7l98v/S0zVu5j7nrLhvdWZsu5djmJbd4UZ8hgfeM6/vO3lVwIbJo6gsHVdQOyVxagIOAhGhsLwNqRMHHIMACitc57jqaiAJQELVc+lcaThi2PPQEXfLDDeje8+hKzM8dvvLwE63PaJ/32q4TiIVyZ1aFHT5+KSUbZDkTaGNrcWZ999EYKrZ8fnffFVtfqapwhAPEhg9l0sgfXyJFM6/aTRA4fxhcAYGwl7L3oQnIf/Cv7cvNx5+TiS0EwEqaE1ispDxSdTWa/3atRiIiIiJDpmfX4mDGymO0lOZSFggDZRBZgX6G/VSILsGLmME58u47Q88/z2YdTlAUtXNHx8yr+9HfelTn2jm09CC3gCTD0og+w/ZY/culzO3hr2x/54hvOUL3QlM3Zcr69zrqYY4+fTRRYsHQfQ+tgU+lgTr//MfL9nf3IdfjJ93kAH5//uJvyUZO4afgIaoB0fR0AoXgIgMXL0rgyU08jobbXCV1TvYZfLvslPrePKa++mj2/Z/WbNGaG+J61PMovn7mFqVv3kgbyigsxpshZUbmme9vzPPbOMtJP/4WP/DfNB597jG9+9o8cO2IEqbo63MXFNGzbQgHgzsvj3X+6pVvPEDkcFZWOzx6P/NAHuDQ8lqjbxy9z3wEgGgoBh7aXbX/q8F9WY0wAuA6YCLwF/NFa2/UN3EREREQ6wZd0FiyZObKItzxtf0ypL267F6F+2mxinjXUvvA8C1Y7WVUilcDr9rZZHmDkqjepzYM1ow3DTju5zTLG5SJ55XUM/eG3GPqGZWexjxF1cVyNTXNyC6oaiXoNkyeNYY2BoXXOeTvx2AGdyAK4XIY7Lp+HO/cu5gybRE4oSQ1gg07CWh8LctyGNBe9bHl1UgEjaoKkw6E263ph5wtUvf4y71tTyNxljWwcN4xxW3YT37wRb8yZuze4Hi75wp+anu92ktz6Ag/5dfuw1na5l/uGl37Hl95w5kdf//A29j17Ln+ZNIJ5y5z5ufv/RLnzBm4PlUhbRp39frj59+zIK+fsGROpynGSWG9uPgCRYBAC/RnhoTnYnNk/A3NxEtlzgV/0xEONMV80xrxtjFlljLnXGBMwxowzxrxqjNlgjLnfGOM7eE0iIiJypLDJpNOz5/UxfXghMXdTEvj0LMPfznL2kx1cvrDN+0cWT2XNKEPdS03zNevj9R0+M78xyIZhhoIbr+fMuR9ot9zo007NHu8pyidlwBNummuWF4pTl+fF7XbhzvRO1ufnc8YNX+/w+QPF2dOHcMbYuRT5i/AWOVsLuRudhPVXy37N1//hJIpvn34yUZ/BFQmzfO9yPvfM51qsBJ1+/FVuuDvFzDcaeW7ELIZ+/vtUFrnw795BKraXfYVuNp80o80YakcNYXxliHWVXdue54E3l1PDMorjudlzUV8ym8huG9SUGPvztVmHHFnmTh7KFe/6Btef8wWMMfz60tnc9/GT8Oc7X9wkwr23d3NfOFgyO91a+xFr7R+Ai4EFh/pAY8wI4HPAXGvtDMANXAr8BLjJWjsRqAWuPtRniYiIyMARy3yosj4/uT4PBJxVOJ+cbaj48HTO+/L9fP/EKznj6s+2ef/00mN5e4zBu7Vpy5yq4L4On1nQGCGYH+ADUz5AwNN+98SwEYNIZLZaTRYW0Rgw+CPR7HVvPEXM525xz7arP0zeyBEdPn8gMh4PYZ/Bk/l9vbT1aQC2DoKpp7+bmNeNJxbjN6/8mVVvPcP2hl3Ze5Mbd5EGvnf5T3n+si9w7Nnz2VOWQ1l1NYG4Jeq1RE+a2+Zzc449jhE18MSbz3Qp3puW3sL7XrIM2df0of3+k+Zkj/95ze+zx4GC4i7VLXK487hd3PX1C/n7184D4MLZIzhpfBmBQudLqUSo7VEUA8XBktnE/oMeHl7sAXKMMR4gF9gNnAk8kLn+Z+C9Pfg8EREROcw1BJ1eVJfXSWJtZoucXP8k/nH+P5g/bgL3/vlrzBjd9qrAIwrLeXNYeYtz27dubrMsQDqZpDCSIF5QdtDY3G4XDbnOxyZPyXDCfjf+SNOWFv54ipiv5XDm3LKD1ztQNQbc+MNREukEuZlmeOo4F++fcTIxnwdfPMHUB5dw020p1m5Zn73P1xAimOPiX19dxD3XnITf46Z+UCljK+GkdRYMFI+Z0OYzZ5zu7Ce8e/lTWGupinSuh/aiZ5dy2ZIkhRecD0BDDvz+W00J7K8vW0DM7fTOFhUP63JbiBzupg8vZERxTotzOWUlAJj6YH+E1GMONoljljFm/wx+g5OANmSOrbW2y2MxrLU7jTE/B7YBEeAJYBlQ1yxh3gG0+VWmMebjwMcBhgwZQkVFRVdDOGShUKhfnnu0UTv3PbV531A79z21ed85lLau2rODY4BQPEFFRQVR44zXjdg0zz33XMc3AzXRNFsLp9HoryQvk2AtfeVlvI25bZavqtrAMRZi/sGditmYAqAel28QjX43vnA0e58vkSLqc1FRUZFdSqWytr7X/9z115/taMBNIBLlqYqnyM10UB9XcBErXl1KzOtmSG0ji18HXwqWP/8UOXVOr7U/GCaY42kRc31JEeBsuVMSTLOpMULzlHJ/WROOMhgIbHib7/znOzxU+xDXj7ieMk/7XxrE03FOfzvGyslDGXLuudw89jWG5I8hsuINSspKiU2awKsvPc/bn/kO4X8/ytS0q9321L8jfUvt3bsadu5kEhDetYfQuIHb1h0ms9Zad0fXu8MYUwJcCIwD6oB/AIs7e7+19jbgNoC5c+fahQsX9nSIB1VRUUF/PPdoo3bue2rzvqF27ntq875zKG395jJn39HiskEsXLiQVX/7DQC+vECn6yyf4WH1M0uYt95JhAt9bsbPGU80FWVyyeQWZe/8wz8BGD5pYafqX5ObCw31nH3OKTy34Uny4qnsfU9809JY6GfhwoWsyZSfv+A0pk2f2am4u6u//mw/lOMnLxZl3vx55GYWJZ48YybzFi5k/R8CBBLZnRzJT8WyMT74wwSN+QHe2yzmrVtfgUedPWXzY3DhhZew+Vs3ZK83f39LbriecXvruD+xEoDiSaUsHNN0/UBvb3wLVxQiUyax8IwzWHjGGU0XX3yx2TOAT17a4XvWvyN9S+3duyrH7qD65zdQbA35+fkDtq0PNsy4N5wNbLbW7rPWJoB/AacAxZlhxwAjgZ3tVSAiIiJHnnCjMxjM5XeGw7lczseUrnxYmTN4Dm+PbfouvqFqCy9+cDEbL3pfi3LRZJTif1VQle/FN++sTtU97HOfpej972PQ4nOIBnzkRKN84/lvAuBPpEn5W65dOXTokTdfdr94rp+CSIpIIkJBxPnioHSQ059qPE47vDnGGS6e3Ns0Z7awMUkkv2VP+bjZ81q8DngD3LbY+a1H5rZcYTo+8RjmrbcE1m7ks/9OsWTtW61iW7pnKZvqNwHw1Kv3AuAdPqZ7b1TkCFUw2JmS4QtGDlLy8NYfyew24CRjTK5x1lU/C1gNPIuzyBQ4u8I93A+xiYiISB9LpVM0vPYK4UZn7pY3k8zu337FlRlu3Bn5vnyCJ04hnXldXbWC2ZstY/ekSNt0ttxzT/2JqVuTPDxpLsWFbQ9DPlDx+y5i+I9+hPH5iOT6KYjAfzb9m1Q6RSABKb+/Rfmi4pJOxz3QpAJ+RtSkWHXDN/nG3512zS8rBmBobRyAdSceS8qAt9rZGzaVTlEYSRMvyG9R17SJTb3X2wY5P9/7f7/Ht+RBjvvzbS3KDj7xNAB++JcUC962JN54vVVsVz1+FRc+dCHra9fjfeghAErGtb1CssjRKpDjJ+wz+BuVzHaJtfZVnIWeluNs+ePCGTb8NeBLxpgNQBnwx76OTURERPret398Djsv/xj8y1kH0pPjbMGT43aSwYC7uEv1TZ1+Gh/9itM7O3xfPHt+e/0u6h9+mMpf/5rG+/9JxGd4Zsz5nDyx6ws1JYqKKIzA1+9PEUvFCCQgHWi5GvL+nuUjUUlVHQCjH16aPVeUSWaDg52FsE5897nU53nIqXV63KsbqsmPQiqziup+5bnlfOIzbr76MTd7f+xsZXT6qNOZMHgqxt1yxtukKy5jT27TlwT5m7a2iu2nf0zyiUdSfPZPF3H6SsubQ0YwclbbewiLHK2MMQRzXARC0YMXPoz1yy7e1trvAt894PQm4IR+CEdERET6UXjfHgCGP+/MgxxeNgWAIu9IAEo8XRuuO3/4fG5/63aiXjhtVVOv7op1K5n8tf8HwDTg7RF5nD13PIUBbzs1tc9dOgRYx3GbLDWNdfiSYDPJ7Dc/6mZoneX3HVcxoLmOOwW2P04oAIWZjh1vobNv5bMXjeaeqfv4zZSTWFsUYNTuRh77xRf4C6/yLYDilqtRG2O45dL7GZI3hPKclqtRHygnL4fnzruKdz/8O/ITMcZur8Fam+3Ft9YythLGVlpKGwqJexq484zP8Y9hxT3cAiIDX3W+j6J69cyKiIiIdNv+ZGhHuY/fzzyfwjnOd9suJz+h2ejgTpk3dB53Lb6LYI6H/GadDltXr2hRrjqQx2UnjO5WzDnlQ7PHW3ZsyZx0hkf/+rOPcvWX7+5WvQPF8M98myXjh2d/dym/D1eR0+P6nYU/4pJ3f4VxReOIlBQypirJmNsf51u31wHgKW2dsB5TfsxBE9n9vvP9q7nk3T/i8cljmLwryeoNTVv/NOzenT0+bnMte8//CI9ff0G3vrAQOdJVFucyqGZg98wqmRUREZF+VRb0EwrAtad9i02nns/sMU5SExzr9NDWjpnU5TqPH3I8kRwnuYqdcx4Ao//9dIsysYISZo8q7lbMuWVNm8dsWrcCAG+u87xRhaM4fsjx3ap3oBhcksfakrHZ19uvvTLbOzqyYCRXHHMFxhjsEGcId2WhyZbNGXRoe7m6XIal3zyb8WfMJy8GrvMvJFFZCcCOd9YBsGfcMMY/+giLf/z/DulZIkey2LBSihvTbNwT7u9Quk3JrIiIiPSrkqClJjcA6Vy+tngqrkyX7LEXLeIji77NtPe/u1v1pgtG0ujPY8b3vkVdrospa3a1uF4yckw2Aeuq46eelD2uXPeGU1/5yG7VNRCV5fnZHRiXfZ1bWNxmuYmzTgWgJqdpka2ioYfeToMK/Bx79jnZ18ldzu9230ZnFeN1Hz0P/7hxbd4rIo7yqaMAmBSv6udIuk/JrIiIiPSrwnCK+oCHs6cNYcGkpqGms0YVs+zXH+L4Md1bFXjOD7/FsJt/h6ekhBdmOPVWFjYtKDRt6uxuxzz+hNmse+8iAHwbNwAwYuKx3a5voHG7DFOOm5N9nVtU3Ga5mVdeR8X0uWw/75M8Od3ppS0b0TNJ5uhjmpZaCe52dnSs3+osCFU49sjdFkmkpyTnTuf/rnETHdq5If6HIyWzIiIi0q88KYsrx8ftlx/f7Z7StgyZPYMRpzo9qN7BJwJQW9D00WfirJlt3tdZ3pOdOofu2AfAsIkTD6m+geZjF59MKvPrKipp+wsHl8/Hdf+8m89+9Sr+PPurXPPuyxk6rGf2fHW73NzyiekAvLV6OQB7tiwl4oORI4f3yDNEjmT5pUPYPsjQ6Ir1dyjdpmRWRERE+pUnZUm5XT2ayB5o4shjAPCWzM2eK5wx/ZDqLJs8iYYcOHZripQxDBpzdCVQY4cW01DsrGBcXjao3XLGGIwxfOeC46nJPY6yPF+PxXDlJT8kDby0+l4+8ODF5FdtpaoQ8v0FPfYMkSNVkd+Z5x9Oa86siIiISLd4Upa0p3d3Czz18vfyzoyTmXnDd/CMdlYwdmVWH+6u4yfP4h+fPoPq3HyqCwfh9vbLjof9atjUGQAUtNMz29yFs0ew5geLCXjdBy3bWTOHT6I+Dy5+0fLdr7/NnE2WtIFcb+7BbxY5yp064lQqPlDBMO+hLcrWn46+f3VFRETksOIksz2X4LSluLSICx/4IwDpB/+FTSQOuU6vy8vPr/k9wfP3Ea9tOOT6BqKccWOJvvwyrtz+SR49Lg81BW5KGlO8PWQkhYEgT00J8il3z/X+ihypcjw55HhycJmB27+pZFZERET6lTcFaXfvJrPNufLyerS+giGDYEj7w2yPZLknnkTjK6/iys/vtxj8njHAJnIWvY+FX/0Y/l0vM75ofL/FIyJ9R8msiIiI9Ku+GGYsvaNw0TkULjrn4AV7UWlOAIDpsycT8AQ4Y/QZ/RqPiPSdgdunLCIiIkcETwrSR+F8U+kZEz99LQBjTpjVz5GISF/T/zlERESk3ySSSTwpsOqZlW4qWryYorWL+zsMEekH6pkVERGRfhNOxvClAI+3v0MREZEBRsmsiIiI9JtINOocaJixiIh0kZJZERER6TfRcKNz4FXPrIiIdI2SWREREek3ESWzIiLSTUpmRUREpM81RBP8+JE17Kmud054ff0bkIiIDDiaoCIiIiJ97s3tdfzh+XX8L7mT2wGXemZFRKSLlMyKiIhIn9u5Yxk/Wf4N3iybAoDx+fs5IhERGWiUzIqIiEifS7zzFnO3WmZuXQuA269hxiIi0jWaMysiIiJ9Lh2PtTyhObMiItJFSmZFRESkzyUTTjLbkOO8DidsP0YjIiIDkZJZERER6XM20zO7p9xZ+GmCTfZnOCIiMgApmRUREZE+l04kAHj5gkm8PtEQOn1yP0ckIiIDjZJZERER6XM2GQfgpNkX8dNL3EweM6efIxIRkYFGqxmLiIhIn0snnGR2zogTWXnqSowx/RyRiIgMNOqZFRERkb6X6ZnNCeQqkRURkW5RMisiIoevSC1UbejvKKQX2KSz4FNObl4/RzKAbHsVXvhVf0chInLYUDIrIiKHr4qfwJ2LwWrbliNOZgGonEBOPwcygCy/G576LoT29XckIiKHBSWzIiJy+KrZBI37IFzT35FIDzNJJ5l1+X39HMkA0rDT+bn5uf6NQ0TkMKFkVkSkj5l0Al67HVLaV/Oggrucn7Wb+zcO6XmpJEkXR+d82VgQbhwNG57q2n0Nmb8Pmyp6PKSjVjrt/CciA5KSWRGRPjZ812PwyJdh6R39Hcrhr2G387NGyeyRxiSTpI7WTyF734ZovTOMviuCmb8Pm55zEuL/fpG8kP5uHJK7L4B/XN56KoOmNogMCEfr/0ZERPqN2f8hqXp9/wbSW5JxePjTsHf1IdYTg3CVc6ye2SOOSaVIuo/CXlmAeMj56cvt/D2xEMQaoHg01G+Dhz8Dr/+JIXs15LhL9qyCO98Nu1bAK7fCludhzX/ge8Xw7A1N5W4YDn8+/9Ce1R89vtF6uP+jTV8EihzhlMwe7dJp2Leuv6MQOaqk3H7nILS3fwPpLTUb4Y2/wi3zD62eYLMPY817Zl+9zfmwJocldzLcqXKuZJKk62hNZjNt5Mtvfc1aePE3TUOK99v/xc6M9zs/Vz8EgDsV6Z0Yj1SrH4atL8Btp8NjX3POuTPztp9r1lOeCMPmJfDPa9qfEhIPw9M/gPs+DNEG53d234edRHLjs85Q8tqtPRt/cA/U72z/+hv3wJp/w4u/6tnnihymlMwera4vgns+AKv+CTef2P43eJv/P3vnHSY3cf7xj7Zc7y7n3nu3sY0BY2x67yTU0BIINZRfIIE0QkICIYSaAKGFTuidGBtsbFxx792+c7ve6xb9/hjNaqTT3u3enc826Ps89+yuThqNpNHM+33rPLFv2c4O7Z4LF99nRITP6sKD25EDhfZK1iTnJc1rWmZ3L4MvfiWEtWBD+5zHRfth62yOnX8J7FrY4q6eUIiQtwP6dDBRtgsCdfDKebDsJXN7fYX49DtYZos2wZe/hfevt26vLRGfvY+EjJ6RzYkNZW3v594V0Fjj/L/3roctccb2xoonjhDE/UCici/UlZu/8xdBeg/zd0I6XDcXcgaI39VF1v3XvA0f/8LZ7XjhkzDvYdj4CeQvFuR34yfw35/AF7+GxqqmSom24v2fNx0bKuRz9CU6/z/Y4LpQu/hewSWzP2Rs+R/kLQR0c5G0Y9174nPjZx3WLRcuvu/wBQ0yW7X/4HbkQKGuvcisYX3oMU5YZkNBeO+noIfE9s3/i6EvZbB/Tfv0x0XLkM9kxast7prYECDoiUMMCTbCBzfBNw+3snOtRDgM371oEtBYUV0IT0yAOX+BbV8JQiQh19wEhxq70iNBnk+Sj1qDtCbnwIDpkd0TGttIZpf8G56dDgv/2fR/9RWw+k1Y8mzbzuGEij1QslUQ9/ZEoN5qSX1kODw+3vxdsB4GnQC3r4O7d8Kv8iB3BJzwe/H/mkKoyDf39yXByledvdh2zje/h4MQahTfdy+Bog3iu5yv2gPhMOxZBiXboCaK3CZd2L02MrtvNax+Gx7oKcblyjfar18uXBxEuGT2UEU43DGlKPatFJ+BKG5KWX3EZ3k7u8nEgPTKLcIqnL+0w8/twsWBRMQyW7FbCOjfN7TX3CWF+r7HQPV+KFgjSvWMu0xs/28MrsbPnwJPT22f/rhoGcWbxefmz8W9f+MSx92qFi7iiA1ldK2MI6P39jmCVHx1f9v7GQ+2zYZPboPPfxXfceX5guCsfa/p/6TCx+NgmpaeUL5kQYj/1FUki5PHpHSCKTdEdk9oLI+vXyqCDaZyoGSr9X/hkHCTBRFXqnpCfPciFG6w7l9TApu+iP3cu5W1ffEz7Wct/HMuvHyO+C69O+S9a6gW7trZ/SCzFyRng1SoyGcRDom5WSK7n/i0KzPqymDXt9D/OPP/9ZXm/31JRnvtmLW+fJeIm67aC38b4Gz1lR4/DZXW7c8cK5SB4YDo++d3i2t14eIwx0Ehs5qmZWma9o6maRs1TdugadpRmqblaJr2paZpW4zP7IPRt4OCDR/D3wZbF4r5j8BD/Q9MYXR18tq/VnwGWohxUif2DkJmhZE8Zs3bHX5uF4cQgo3fu7IJETKrhw6KoqhNqC4UVoHmoFpm2yIsVe4Tbpg9xonf0tVxyCmxt1FsWFOcBOVNnx+YOfaHjIrdhDW/sDzmL4JNNq+eQD0EG1n8wez42y5Y2z59jBdbZorPzV/EN55rDFKhWvkkpGXW7iq/7WtBnAE0j3BbBVHCRyqJUnKg22j45XY46mYSGksFAd70eex9k1j3vlAUQdMYfpWsBmohb5HZ509ug39Ose6/4hV448dQbCPF0aB6Vnx+lwgl2D63fcKads0X7/zzJ1u3l+eJT0lQVWgGmdVDVjfj1C7i0y4nbflSENWjbhK/6yushLefoURrTzK7f7X1t+q6DiKGV5Z7ak6pOOZiaKiAVW+IMabrsOYddz50cVjiYFlmHwO+0HV9GDAW2AD8Cpit6/pgYLbx+4eBL34tFj3V5VBqcqXltD2hTsghYyGNZpmVsRehgBAsP7hRCCMdgKDPSIzxfU2S48JEVUHTRVnimWkw/+8d2p0DDUvClvZODtIW1BTDQwNFls9omPUHeOEUoWTYMsvZsqwKUdHmllhQVwopnSG7v/gtSYXiYhkrNN2mEKkpgTcujs266yJ21JdTkDtNWLwkVHfIR0fBCydT648Sz9ccCpXs2PWV0fdrb0iLZV0pbI2DhDvFxL//c/EpXYYlmS3bKVxjXznX3LemyCQvuSMNAqxBUqbYltoJ0rvj0YPw2Fgxnp2g6/DJHcI91Y59q4XCaNiZpifEps+FPGKvgbvNuHbVGhgKmN+lEmvjJ879UBFsgI2fWrcF6kSZnBdOFb9fvxieOS6+OUTtT+EGkfVZPWdzZDZimQ2brroAqZ3N/qnY+AmkdYMBM8Tv3UsNMqvBtF/CMbeZ7bUX7CETK1+3tv/dC6YSpblwj75Hi88PbxJZsfetgnevhacmt19fXbjoIHQ4mdU0LROYBjwPoOt6o67r5cA5wH+M3f4DnNvRfTto0IzHoGrvkjLE557l7X8+pyQP0Syzct9ALcy8F1a+FttC1Q7whA3SLAWC6sLvb8KcHzrevETEk9ldpurKRdxRc5kbY8Ge5fDfKztMEdMSfME6QdIAKlvwegjUw9y/dUzfd8wVLnhOWTCDDZC/RAjUNUXw9Z/htQvgy9+Z+6x7X1gG6pQYvraQ2foKIbjLcIfdS0S8YFKmEBRlBlIn5C+FOX+N/NT0gPX/BYZQqBIkFwL5S6Boc/zH6TrUldGYkA0jzze3y+Rd1UVi7OxdgS85Kf721VJPaqbrA43qQhh0onhnX78I/ndvbMfVOKxXq96Awo2wySBywXqhzHtsrPVdAqHIjZB2DerLxdhXXZPTu1mPcfJAqCuD756HVy9w+F+peKcyeor5N9ggSPHfh1oz+/Y9BrZ+Jb5XKvOxasGUfW1ORqjYY1gPZwvL4MDjzf9JJVpNsZg3Nn8uFPrR3tFAXdPEVGp/tn1lO/du0wptv2+gkNmg1UU3mmW2aBP0ngQ+Yx5a87ZITJfZG47/DSSmme21F/YplllfsrD671BKM22dBbmjxX1tzjKb1tX8XpFvVdi0lXwvfhbeuaZtbbhwEQcOhmW2P1AEvKhp2gpN057TNC0VyNV1Xa5O+4Hcg9C3gwM5gaqWA2mNdNKk2vHhzSIVe6xwchFsyTIbqAWMEgp2C8cBQiRJjrwXDw8Wfy6+f4jmxi4X2LaMuboyQWTXfwBFG1vfTjvCG6qDzoOFIqs5F/6lz8E/RsDXfxLf2wP1lSJ7qJNly+MTn07C1wc3wPMnCVdLgEVGshg5R+1fC29fBZ/cblWYBdtKZjOsSXKklcTjbd7lc937IvGOAY/9mqSFw5fc+v4ZeG7Nc4z+z2gaQ9+T+OfnT4KnJsV/XGMNhIPCq2aiIszKe7/nu8gmT02c7oyhgIjH7WVYjir3CtKtJuBpCaXbWxeXWV0g4ivHGpbPhU+27GoPgrwnpAuyqOKfR5rfgw3QUCW+b7a5CTdUCgILgvQ2VEFihnUflZTI9uyIJARyUP7UlkJKNmR0F+f7+zDzf/4UuGMj/KEC+h0rFEDBRqvSUVVcSQK4e6lzcjtdF/PZy2eL5JLJ2TBWianetUB8dh0mnpVEYZR5+6NbhEJNukOX7bS6KNvJbHmeSfDszwSsbsYNimU2pZP4tMtJ9ZWmlVyiap9pjGhuPo0X4bB4B1TL7IizISlLZDae/6joX30FpOeK62vOMisJOoj1NU/JPt6SgrUl5C0ULtixomp/bLKuCxdR4DtI55wA3KLr+mJN0x7D5lKs67quaZrjiqNp2nXAdQC5ubnMmTPnAHe3Kaqrq9v1vJPqG0kFli76lpq0PfgbKzm6dAca0LhzIQu+/hq06LX4jl77ERX5W1lX0TPqPiqmzzkn8r06tS9pNbvIWz6ThEXvsGXwzwj5zFIBw3fvIBeoKSuiOpBGLrBh/VoKSsUCOmnJLdSm9GDdqF9bzpHQUIKu+Qgk2Cb6ONDL0LCGyvOZ9/VXTDe2H4xn/kNBe4/tlpBZvo665G5Mqq/FDyxc8C0NSeYim7v/K4YD+/buYVNr+qXrjFz3IF0MV7O1335BcZfy9uh6mzAuUEdJdRKpCdmUb1rGRs+cpjvpOtPn3hn5uX3LevIaHfaLA/7GCsasvo/06m2s21NFUddjLP/vVLyR0UBxYQFrbfd74o5lWCpiGsStpnQ/S+fMIbt0JWOBho0zqUofiEE5WfLtXGpTezfpS5fCeZTmTCDkc8jmKs9ZvJf6pC6snb8o8v5XNHpZMWcO/fLy6aeHxHjVdfrveJWC3BnUpvYCYHDedtQZsa663DK2h22YRTcgXFPC/NlfEPa2wlJo4Pn85wH49OtPyfYd/ukephuf8n4lNJTRmNjydSXWF3EUUB3yM2djMVlj/8i4Vb9jxfJlVGyvp8eerxhi7Fu9d13kuFjmnJSaPCaHA+zwDaQ/S9iw9Gt67hHxuMuPaDm7cUbFBias+BWbhtzEvh4nt7i/hBYOMa2mmF3F9RTkTkLS0I0zX2R/9xObPXbEjnWkedOpSe1Dl7pFjvuUFe1j85IlHAk0VJdjd76uyF9PJrBn13YSGktJDmp8p9yvlJrdqI6h8+fMJOhLt8gMqdU7mATUB3QW2e71+IKdhD2J7NtTwQiwEKBVg26ibPkmYBM99xQzGJj/9f/osfcbjCI2LF8wm8pMQW5H791Jhi8Vf7CGzR/9g709TwM9TEJjGY2JnUhoKOVogN1LCe1dTUHuNAq2FyPzDFdsX0omUNKYwP65HzDS2J63fCbbHeSb49a8iwZsnP0q+7ufxOTFN+IPlOM3/h/aMQ81vdbGJbNIqd1NT08C8xYsadJeVtkaxgErly+jc/Emehnbt+bvZxCwZf1qqrOyI+N1am0p+4oq2TZnTuSdASiv11k5Z44Ys8C6taspKrQpIeLEmFW/J6dsJQB1Sd1Irt/P3qJyPJnj6VbwNcz6PWv2NzCwbD9VwVQCdXV0qyxivtFXLRziOKW9b5etQZ39a9Z9gZyJV331LmU5SvbnODF6Xx6dGiqZ+9WX6B5/i/sP3vwvOhcvYeHRLzb5X0fLJD9kHM73+mCQ2d3Abl3XFxu/30GQ2QJN07rrur5P07TugKM/qa7rzwLPAkycOFGfPn16B3TZijlz5tCu512XDrUwadxo6HWEsCigw9hLSVj1OtPH9XeO75BYCF0SGmLrU7AB5pg/0/pPgrW76NOwBQrX0W3s8XD0LeYOe5+GQkhNgNTuPaAQhg8dyvDxxrnm5JFam2c9d2MNPDER+kyBi5pOTrFiz+anAfCGG5k+fhAYnjTTu1bAsLMgUCM0inbNqItWo93Hdkv4wzlCs+wRuqujJk2ATgPN/88SD717t250j6df1UVCQ1+RB8ULxZhe8ASj+mTDkXG0A0Jj/G/DFe6W5db+tRLVS8Nkde0O1V66+YN0c7q2gvWRMQ8woP8ABkxz2C9WNFTDv2dAzU4ARg7oARNt7W2shbXQOSfLHAc1xcIzY5UG0uCa0TPiapjqC4t9V+6D1ZDYWEpi5hgwwiQnjx9tJnCSqNwLj5wDU26CEx+I3ucVIdJ6DWT6jBnwbTIE68js1s/o2yLYBdOnTRN9mfsOfWtXw81GhtSKd0AxIKUlJ3KUep/X/xoS0vE0VjGtSxWMOVVYbT64Eab8PK643JxXkumVX8WQM4cwstPIlg/oaBRtEvOkk2ulHboeWSOmT58uEhK9eg3ctkZYJ0G4cn77GMy4B7yKsLpvNSwCb1oncewOL6yC8WNHQ/9pMGsObBG7JusiUc6zV1zLP2J5t9e8A0uh/4k/g+feYHj3dNi2FzK6M338YGH9yu4b/fjl+bAChqaUMzSeuaRqP3yj02/UZPpNuhyOOxX+NpBhfXMZdnQL7ex8GJL7knL+szD3IZEgyYbs9BSOPGIcLBHvjh2ZYXGfenbrDGU1kNzNOkfXlcPSmyI/p357BZz0RzhGKQO00wffQVJaZtP5fU0Iug0ke9KJsOEf5vZT/8pYJWMyy/NgK0wd0hkaE8HwHJ8wrD8MNdrc9gBkHgFFmxiSWsWQ6dPho1th+X/g6i9AzwXDAOgNN9DjxJvokdMfVgpleKZPhAJ06tSZTp1CwrKZnE2f7CT62PvdWAtzhMfOsNRKhk2fDgurIWh6hXjDVk+JYbnJUJkGFV2c17mdflgF48aOhlXrwfCmHjR8DGyDwf16sieYJo4Nh2BOPb0HjaT39OmQ/YzwINn4KVnZxhxVvAWWwsjhw2C0w/niwZyVka/J/SfDho/o0bMXZPWGgq8BGN2vC2xvJKXPYEjtCns+ZfqxU8HrE3PbN2Zzx0ybAQvM36m1u4UbfW0xY3O9cEwb+rvjb1AKx00cCRlKPd9wSMhsXhvB3fMUFDc6PpMOl0l+wDic73WHuxnrur4fyNc0baix6QRgPfARcKWx7Urgw47uW7ujsbZp6nonSFcU6Y4nXSuPMG5HS+4X4UDsRbll8gOJjO7iU7oKLfqXNYFCQLoZ15mxvS3VTFvwpEgb39pak3Xl8NldpNQqcTnlSjbI//4EVr8Fr14IDw2IPXOii0MT9eVmbT517IFZ5iOeOn2bvoCHB8HzJ5pxO1PvEDX3nLKKtoSvFbK1+7vo+8UBTzggXP4ye0Z3M1bjoCB6LehoWPOOKJ8hkb9Y3M9znhS/pfuiiqARl7tlppmV8+/D4NHR1hjFzoOtx4RDwr1YQnVhlm2qkC58K16xuvPZIWNmAfyGO3CK4R6ougTK2ETVDTDYAIpVwBNW57V6QfAm/0z8lnPu0ueFq2ecWWGveKOUP74aYu++QyiZl4qnJsNj42LbV72H4ZDIIKyHmbVsA7p00d38hci4b8+saoypgD9d/FZLnYCIl8zsA8k51NeXUpkMD/7q1tj6VbherJXdRgv31PxFYn1qqBauq4+Naf54aamM181YxmvmGEnIUjqJsae614L4/ffh1lJy1YXCnTOrjyDzTgjWm4kYnSBjPIMNwl04Ic36/6RMkT1axdyHrL/lu+xzSLpVa8TMpne3bh96mvW3dPV/8VShKPQbHlzqfaivFG7QnYeIuWbLl4LIgnjX7aV/+k21nlcmCtM8Yq7NHQlpuaYbtgq5NoC45+GwcHOWuQgkZLw9iLWhfJezizFYY2YblXPKUAQ1Zla6VCcaY33sxTD8LDjvaZj+K/M6ZHtthepenjvSbH+w4mVQVWDOmXKerCsTibY++z9re/YatCCeW2bv+BOP6rqYO+U4k27tNcXW/d64GO7vLN6LKiWxZ9U+Z/d4Fy5ixMHKZnwL8JqmaauBccADwF+BkzRN2wKcaPw+vPHN30Tq+r0rmt9P1jiTQl9NiZi4ekwQAm9zmUVBEIDqgqZEwAmlO6y/5aReZZDhyj3Wmngy9q2xtvmJWdeFNaxqv9DYQ+snp7xFsOQZsssVQcm+2O9dLoSZcFBk73Nx+EEVKiNkVtGkr33PTCQST8xs/mIh9OZIRzjNtEo5xXG1BDWJRjsl8tD0oEFmewlFlHovakpEFs9174trkEJMvDGG715rlvgAMwZtwHQhyNiFcbASTykQSxKo/s+vuAb7kkSMnBobW7zFJKFOyeXktoZKkRDHCVI4tZNZmSVXzpvhkPlcpWIQxJyRM0BkacW45xJFGwQJ7j5WPAd5bZI4qDG6kWM2w4InHLs6YK+4R4VbWpE0qR1RVFvE06ueJuz0vjjELn+49UOW7LO5W6qlRWqKIorEx77cyDdbDOFUKjbsyQSNMRXJRK8qHECM9cyekDuS+mA9DT4fCfY4zvoKkWHVHtNduBE6DRLJdjJ6mrGy1bG+09Lt1njX3v2p6XFhR+VeMwHWjnliXMlYXU2D5CxroiEQ8ZlVe2HB4+a2mkIzNtEpXrXHeLFOOq3dMk5TIhIzm267LI0Guwu4nbDLe2nvQzgsFBDJ2VYLGgjLngqVRBdvgdxR4rs9ZjYpUyi79q2Cj2+DLsNE8qiCtU3JrNdvJdgNxtjTw0Ju6jlRXK+9XiqYZHbUBSIXwgc3ALqwSMvs52DKOOOvEIqJnfNEjLATIjGuYauSLT1XkHd1LpP31B7D7NheO6wb6v2X5/R4BbH9fbkYL+W7xHydlGled12pUGqufVf8HnYmHHe383hMyRFzopQ5Q8HYEg+W74JP7xAKVDDnhVobmZXZ6B8eDH8fAusNm1VVgej396wEn4uOw0Ehs7qur9R1faKu62N0XT9X1/UyXddLdF0/Qdf1wbqun6jreivNeocQ5MQ958Hm95MLvpw0aorExORLEJ8LHof3rhcJVt67zloKQ9cNYVOPTVBXkypAUxfdzN6iKL2EmgBKktmlL4j6cGpShq2zhDXs3ycIQtJ5qLNFJhYYFigdjzlphwLm+cFMCpXRE5Y8IwQOF4cXnBZ4Vah752rzezxktnizIDGdDOuhzP6ZlGkKIKFA7BYa1SIajkFhFAM84YAhlPcS74l6jsVPC+tg/mLofxzcuVFYo4o2tm2xL90uBLL07oYw7kBmVaucx9vUk0PCpwhC4YCpsJMCV2OVKUw5CUNybvAmRi/JVF8O6MocZZARJ8usJFdSeKwrE+f1JcC4S8W/1Gcnk6h0Gy3IuFSiyHvilFjqhZNh5m8cE2cFvKJvNTt3NPnfgUJdY4hAKMys9QU8+d0rLN2/lDc2vsFTK59ia7lCGppRcv7m299w7cxrrZY8lcyW50FFPmEgmLSPYMgYf5WSzNoUFXYyq5Y6kW0nZ1PcZRCNQZ1GqaBQkb8EVrza1DpUW2ImO0rv3vr1Rb73a96O7vX0yHAzAVbBWug63MxMC4L82d8feU8kKQwFxD6yzz5bTPbk68QcFay3Kn4liZUWYIlggyBYaj8MNCbYyFmg1mrNjFhmbX2oLhBza0Z3U1kEIilTQop1X1XBU75L3BPNo7wzYUHwEzMEeQ01ikRCI86FnhOEvFCwTigk7Lhnr5UUFm0QBLbXRLHdiczKaxpyGqDD6jfF76QM0x3em2D2e+R5cP6zgGZNfqRC9T5rrBZJry57R2QG9idb50fZp6RYyGwbam1Hzlcl5sIz/wG9jcjtQScZ/daEBVsS/KRMk7DXloox1msy/GI1/PhVER7gcRD/k7NFSEjpNnF/Z/4GXj6n6X52yPsiZVApN6olueznAbEmhYKmolY1WjTWWq23Llw0g4Nlmf1hQE7ymz93LocjEXEzVsisnGzlArP6TeHGt/otYZWUUCfJ716AP2Q1X3+vbIcQOEf/yGjftmCNOAd2LTS1kpEFWzeFooI1MPt+a0ZGOYlW7hauNp0HO9efjAWGYL9y3J/gjEfEtlCj1TVIlug5+3HIGQhvXd46q5uLgwenzK/RssHGQ2ZLtgohUb5DyVniMylTCAThsIgdnfWH2NpTLbOxeD/EANMyayQ1Ud2f1bIb/acJYWzydYKALXS2DDYLtY5ldj/DspTd1LIEVoIQbBTlQlRkGTGJ3kToZrh1hhpF39Jy4RaFHEjS2ZxltstQa5kPFZJodDGyq0rLopwHVBdWSSTQhRD0YD/Y8j/RT8MCYclmXLpDzLvZ/YVlSF53RDB3ULTI/9nKg4XDOkHJq/d0XLmY4b/7gjMfn88Nb83mmXUPcc3/ruGb3SIobk9VlNIpChpUwXHZf0ySp5LZ50+Coo28W5XNI2+8z/49RsCjVB7kLRCutfL+G+eKuBlrHqr3JVL4neGqG6gBfwqz9pYxZZNOz1IH91F5fjsBCNaZ65XdigjNl2kCJSFSnG7GFbuFa7SKpCwHMmt4N8m4ZOliKbNv2118kzKNsddgFeJlSSPNY81ULLMeO1gCm5BZdGvWW3lP7bGKMsQh05agTY23lbDLCpm9rdbKT28Xz7f7WGEtlcqn5CwYcqq4xm2zhaL79IfhZ0qm4YRUa11iqUSLWGYdxol8Z2W9VInEdHNuSMoyCarHB6MvhCs/gunWhJURqHNKfaXo++CTzOuXpK1iN7xhZGFu1jKruC23BsVGgLmse3vkz0WW8F5HwL37YbCSgCy9u2lRTco0lSJ1paLfCakiptwpmah8d5Kzofs48X3faqG02LNMEM7mYPdsiWaZlUjtIs5ZV24QWd3aDsBrFwrrrQsXMcAlswcSZUr8VHPxbnLCk0JnbYkpiKuaVL/xvWiTuU21Nsx/BNCtsSR2lO4QApycNOwLbI/xRgzuHiHc1JaYLoVqDEnBGutxKlnvOlz0O1DTOktSbQl4E6jIHCEWRhACc6hRCPW+JNMym9oFzvi7sOLsWxW9zfqK5muuueh4OLmhR4udjUezXVsKaV3EH5iWPemutnOeEPSiWR3tUMd9e2jYkTGziaYFQa2jq1pjZLzX+CuEkmj2/U1DBZygWkMl+aqvNAVGJ2EcrMJEoLapEkFaVXwJ8NPZQrAKBcX7mNFDEFop9MpYOKd6oFIoTMmJ7sa24xsh8EhhVT0GrJZZKazXllgFX59JZi1uxqFGsd3jEc9BjkVJ/OzPWbXiS4Htw5th80y+21lKcqO4T57Sjptjbl3xNhd+8Wf+svB+ZqwS599UJtaGzaXK2uP0nIF91cpzqdxtrit2K1jpdjp/J9aJ4A5DuJbP9NvHhGvt1i/Nc3kTCHsM4djjI39uJ0r++Iz43VhDwJ9M4Xzb+qFCPkv72AvUmcpdJzJrtzra0ZqSPGCQ2V7WbcnZTWPOjYzp7FttuGcaJE96K9j7l5QptgXrrYrfQSeY/U1TKhQG651jZnEis5jEJhyGjR8b323jWvbZfn1OBM1+3sye4v0K1Im+Sg+LIacIwiQtokmZIjZWzmWdBopY9Z5HWNuzWzgTM8V8k5RhVdCX54sxIueNtK7WONnETHNuSMpUPLqM599/mjXmX4WmkM/KPcLzS8KfbD7TJf82FZAHyjK76Qt4cqJwxQ3UiP6rLuZ2r4ZT/gyjzhf3outIU+knLbNOXhASUkkZDilkdqW43nDAHCfRIMdv1X4xFqLFzEpoHrEG1Zdb1wf1Pdj1LQCeUAfUV3dx2MMlswcKoaB4SbsagfrNklljwpv7ILxyniCjqZ2i76cmlXKyFDU3cZbtgJx+pvDmS4KrPlPOoWgmG6rEpK5msIwG1VqR0UMscmU74emp0Y+Jhtpiw8VKMzXJoYDosz9Z/E+ez5tgaiCbs34/NAAe6h/9/y46Hk5jV25Tn2VabnyW2VCDGNf2mK9EQyiSQldraoK2U8ysJxwUYzvDeLdU66Tq/iWJoabBUTcLwcIeKuAENb5WviuNVaZA6hTzV7TZSixVC52EzOTsTRSENilT3MfaEvOdlfFq2f2EVXXrrKbtSGKanCMsbk5Kr8INwnIrhTD1GLC6sEohM1BnClIg5oeIZdZwLQ+HxHOUyaFiscyufsv8Lj1AVrwCr1/E8pffIb1eCMpaXRtq6saB2oYgp+1azNRdeYzMg1E7dZIadM5eFOa290NsyN9i7twMmT1iS5j++3SqNU1YzcDxuWeVCWtOSDfGZqVNQSHvSV2ZIHrS+qN4GTQEAtBYyyy9ir754j71usyWdAhMMu1EZmUiHqkoUS2m0Wqlg1iPFz5ltOtAatU1U+4H4h1pqHQms5ZY+rAZw7vuPfjyd+b8Iq1e0jU/o5d4DzsNUiyzxr4Xv24lLGr2aWnBcnQzzrJuSOtmKnfXvmtaaeU4D4fh6WPNa7VbZp0Imj2OPKOneB7BBnO+PvZOU9kkLbNJRt8kUXRyM1b3k+g5QcyFdsvso6Pg+VPEtWheMY+qRC0x3ZSVkrPiS/wVCVMoFfOI+tx9SWJ+1MNmbCg0XWcs7dlixuOBTK62d6V5/Q6KjAi6DocLnoO7tok6vZEEUIZltjllj1QO1VcIJXBGT3FeuR60lGRTjiuZyElebzTLLErcuTRMgLDE2p5TUn20Nly4MOGS2QMFrw/u2QMn3Sd+N0dmpeawfJfQjg8+WVhiwPpiSzcmNZGHEyGQQkBjjTUrZzgsrMXZ/aHvUWJbp4HWxVFNWCCzEctyB81lTK5RyGznoabFt3Cd8/7NobbUJKhSEJALvjdBCBJqEXgZ2+PkzijRTiTERTti6XNNt0mhTgqmJ/9ZaJrjIbNBY5z0nCB+S+E8KUNomDdIK0UrxkR7xMzqOh49IN6R1M5NsyyrlllVSJPvQiyuziqZlQJFY40pkCammxbnfatEgpCnJsHK18zj7CQoOdt8L+U84fGLZ1ZTYlpHZNZXX5Jw0dv5bdOMxXYrq1P8Y8kWM+4ZiFhWpHVZjW+T7750xZTwJUZIhKYHRZKSP+aIe+j1mf2MWGYVMlueZwpz+YvNNqsLI+SnXNcY+vm/2NUF9mWDv75jyGzpPjHfbslNJD8nkaM36DzxdIjLvw5z9EYd/wZF4fHaReZ3xV3wmyXvcPc7YR58KcTuhERT6SAtjqebtVuTGgUhCFRXinWkej97fF6KvMYzkApWmUxIQhnLr33zGjRW81FZHgP3gXd8Kuk9HVyDY7LMGhazXhPN/4cD0d+N7V8ra5GN1Py1L/ypq8ieq+tWMluyzTifzRKckmN9P/atsP7eNb8pmZXjNbUT/HKbcL2Vllm5b+ehJmHXNKubsczBId37FTQm2LLz9hgnLGvBRvjqfhEbPuQ08z0LNQiytGeZsGRK8jr5evHpRJrsZDazl0HG60wFhEqK5fXKMA8530YrbWa3Bsv9EtNFf4MN5vtYtEFciyRoqou55jHnp6QsOPEP0HWEdaxEgySf0qtOvR5vAoQDZFZsEJ4MEqr13A7V0hsvpOynaeacZk/+1RwS0sT8HItldoQRFzvGmCu6jRHJsuS8WrLF+TgJOX9WFVgV0TFZZm3hYWoYHZDY4JJZFy3DJbMHEr5E032j1lk7DlgzcE74CVz8GvQ2MieqC6+Mb1G1yE7CtZw4138oUqHLBblqr5Hhsz8c/Qv4xSrD8qHEwsi+6CGTgMvU76XbzP3s2siqApH04Zbl0HtSyy5fzaG2xBRy5SIVqAN0IfirGlxvgukG3Zxm3sWhgbKdIiOsrsM3RtKZrD5mTc+ijcJ6KhfR1M5i4YvVRVDXTSGnzxQ49UE42yhFIwWBcAAS0ltnmW0pdqglNFSbgp/XLwSVzJ5WN2M1ZlZ9NyNkNoZ+BxwUXmrymIQ0U+h4ZpqZ9Vi1ENvdKNO7m/2Rc4w3AdCFMksSXUlm/Uli7ggHmpYZipBZ4xg7mQ02CDLpZMWRc4PqRRK5Xt1qWbRbZmXm80CdOddJ61iwwTw21CjKEb17rfhdnidCHnxJ4h6FGtGBZwpz6VbRwJYfnUptQjoJDa3MExAnSncKt7+ZR4whlNIbrw6ZtfDkWaLiXecdinLRyBBbsz+B1UceTaBUrEWB1Wb1u239jxZKh8Za8x4MbJrpN1RbRXHpZi7P7cSpvXtyZfdcYdWV46auzDI/60rSvqVz3qJI0whuKsSrQ/bgdGcvIulSav+fSmb7TIFJP7OWJZH7OCFvkfndPpdID6SSbUKAV98B+d1uNUzOEe+xfLc2fWFNUNhQbbpMSsWuJOeaV7wbmibGkx4y30VfgmnB1fWmJWTSujmW+LFaZjVRYqV0h1BOle8ShM6frJBZRW5QrY+n/hV+U+QcV2kns+lG0ij1vVEtutLDRN67riPEZyTLvA12a7CUIRKNMJG6cmsZs2C9GXqlyhs5A5RzZ4jQqRsXxkYE5TMs2yk+7WQ21EhuwVzrvOxzUMhItCWbsVQ2qgq6eMisphlKlxgss93HwR8qzHU4pZPhym28T/Ys1HbImO+aIuu6Ec2IoxkVBurKm5JZtZwcLpl1ERtcMnugIQWvZi2zysJhT7KgLrzSGqlqrJ000VJLJoUCSWZlrF12fzHZZ/cTv9VJTlMEREnAu4+1WkhSu5r1GSX2rTIyyBraVKd6drFCuiyC6WYsJ3ZfgqnpBatlNpqbsVu/7NDB+zeIDInq4njifXD638X32ffBS6ebZNafIt6PWN20wkFANwWMKT+H/seK76rmP6t365I5NVcPMhb8bZCo2wpmnb+0blZLqmqZVTOKRlzuYyBMaj8bquCjW0Ssp7S4JKRGr+8qlUN2N2QpvIJCZo0+BevNuU66GftToPcUoTjY/D9rW/L5RjIe27wqSneIec4ptk0eE7HMhq3vvlrf2pcYuc+WbMZ1ZYqbsWEdy19CRHkor33zF+KzPE8oJrP6CCt6KECB5mXaYg/renTh5zc8TGNiEkkNIWtipQOEeV+KEhejxg1FTxLPdM1Rp/PX+9+mINNPt/3GfKnrSHfPyt3J+Kur2LR4NaV1JdQVmUL4us3VPJWexIZ1bwkh1pcUsQqqS1C4tpqvtn/GqiRxT/P9fu7p2ZvagjXintWWKm6mEA6Y7+3AHbuY/0037vggTL3PS6cBWc7vtZObsa6LMSLHX2IanPEwjL5IKKxO+YvYXrQR7u/StL67alnfv8Z6UdL6GahtOk5lPJ+dRKg1PEF4QPWeYv6/sUaxzBrjTI7biKIac52UZMWbYH3/7QRv9IVWZZc8nRoz60sS9ynUIEh8encYeIJJPME692UphM3jiU7O7MmjElLMmFkpa6jVETSFUAKc/wxc/IZzvLP9WDCVd1KmKNpgjd0M1JtWbNnna2cJy7ckkc1ZI50g7225tMwqRN/rh8YauhR9C8POiLG9NpBZmcm3utB0aY9WHzcaknNis8za731CqpA3JZktjtEyiy5C2UBce1TLrOFmXF/etLTWqjdFXLQxfpLrmvEIdOHCgEtmDzSSsgDNKmDZoS4sTvUN7VAXeSmgeZSFRrohy08ZYye1mmoRcbBZZhW3GEnAk3PMpBT9joVfbmma7TBYJ4qGSzgV5I4VtYrLolzQpODtTbS6sXn9zgXNVTgloHFxcCCFV7V2si/RKijtX2Mu5P4UMSZjdTNWS77YoQqGKZ1aR2bbav0P1pnjVI7txDQhOMy+H77+i3V/nyKAqPHjLZ5HIbybP4flL4vvkswmpou+fPUn24Gaab11sszKPtvJLCiWWcPy4ksSQmb/aWY8IQjr9qzfi+/yXbYngZJubU6WWWmNURNAqc9FjWX0mmPLkgCqrlRxM04QwtiOb4QAldLJnK89PkF8yvPEvJnVR7gghoM8FuhMVi3smT4Nv89LIDGF5EYobW6ubyeMmfkGAGn9+qEbytCU7rmkJ/kpzUwmq8IQLhurAR36HE1Bkbhve1Yu5sWlTzA43yR0Z72+m+fSM3h20+vk1ewTwq0xVlS+WVS5iqKv5nDCijA5NWF+trmWEV+E+GNSMvzraBGKopCVqgozcc9JK3SGGYbOHYMH4PH7nN/riJuxcuJQo7gOu0Du9QmFlRxH370o9l3ztvhduRf+MVokfZMo3iTKX0lIy+EntwllmgoZWmMnlaqSumynSIg49FTz/43VpkJJzkU5/eH6eXCy8s5JRXLEWyPBVG5L65WK0RfhBCuZTTRJcvEmke1f00ziCVaPLns8cHO4fb31t4yZlf1PVPp7xFXiUz6b5GwYdnr0tu1uxvIaeowXn3tXWkOdgvXmPjIsS16LJJEtZbi2Qx5XtlMcq5bw8SbAnmX4g9Uw6sL42mtNIkwZulW93wwVccql0hxScoT8F6ht3jKrGghArAEN1UbiKZwts9VFsPFToQRUPWuk8SSztzVm1nIPNDMWukn5HR2+fiAyN6TWxJio0cUPGi6ZPdDw+sSC1JxlVtXaNYlVaSFZhXR7VLWrcsGSAqIks9Kya180/Mokp7ruSaEsJcd0OZOLhy9RxPxIZPcXbsaRbreyHmYoKDT89phZ2XdfgpXM+hKFNtmfYrXOBOrgs1+K+pfRtIMuOh4yvmj3EnOb4goagax1nJBiuBnbxpOui2ccDlmz+0Zc+xwWblWrbcQ/xY3m4rJbgl2gkdYEaSXd+iVs+MjaL0m4ID43Y1W4UC09qpsxwDd/sx43+CQlGYgtq21G96aWBvW5yXe263BrpubUztZ3U7rwQfR4dyk8qWT2+nlwzj/N345uxthKKTU6l+apLWlqmd0xF3pMsCb38fiEZSRYLzxZsvpAeR6r9m8gZ5ePRi+cNUY813BSKsmNUFx34Oeb1AZYMFyjZ5+BaCGxHviyxbxYkZVCp0rjWg0Lcw1dSawQ96vPf17k9Ove4shNkJhljrVL1sKshv2cUbGIF9NTI6SqOmiOn9yCKo5/aQvXfxHm388HOPH9BI5bq6PlJwqX3LpSC5ktLBEeB2U90kgwlq03p2VQffuD4r1uzs1YfedVTw0nSJIrY88lCVnzjnMmVtUCayeMMjQIoltm1UyxK98ANKMcjYHGalPppL4j3cdYFUByPZXX7Es0Q3hGnm91bx5zsZnd34aGxGyR7RzgzEfM+a9wo0j4CNbYcHUOiYfM2pUJMmbWyc14xm9E/dhYFPT2Y8G8byk54r3bt9I6r9WWmP2ZeA3cWyDmKDDnvHjJrDyurkzcFzUZn9pW7gi4/D249svm25PHt8rN2BjzdeWmDKNmbY4FSZnCdR6scp4ddpkwIVUok+rKxT2p2te0Zuzs++DNS0X5ri9/Z26Xc3dWH3EfpYyq5noBI4t8o2g7wXi/EjOFUWTV65HdUmvyceGiJbhktiOQ0qn5sjAWy2wzbsYgJh1VYy0FX9XaKgU7u2VWbm+yICm/VWG1tsQM1O83VQh/FpKguEePv9zqLt3aRDnbZgO6kmjGK84T1TJrLDBqvTsQbs9LnoVnpzsnl/k+IBw6/Fyo5bPYu8Lc5vVbBYXOQ2Dd++K7P9mZzG76TLjsfnwrPD7OjDmV1hAnVzk1M6gR/xQ3WmuZzV8Kf7SVz/AqZLaxRvyV50evzxwPmVX3URPTRBJARcmKecHzcOl/jR+2uSe9mwOZdbDMpneDOzea8Yz2e20JqzDmHvs7WrxVKD5UAbf7GBh/mdKOtMyGTQsCWL1gGiojhMHiZlyy1RozW1sqkuH0nya2RyyzXtPlMKuPsDrXlfL67Dc4frVOWc8QA4LCsqAnZ5DSACX1zSgu2wG19XUkN8KeTtAjIxvNEBYTsgUpq8lKJ7smjB4IRKzrs7cJYVh9i/yjq+l3YhFZfz6XnRndOHJpiOQGnTMXh/m0KMAxrx3Fe2mpFIVNhcqMNWJMBJLDhGq8eAf3pSbZS788jWIpuBvJmXZX7ebZVSLJW8lI893b2fk0ZozqK56fk9JTWvlW/1f8gfneRbMuSZIrn5UkmxVRBGFVwamSrczecMX7wgMJTEtgVDfjUuFFkNO/KSkMNjMXSThZZlM7wa/yYdovTZIxYLpw03WKZQVxL3/8qoh7HHWBSZKDddZwIikTWGJmbZmMm4OdmPrtlllbzGysRBaaKhXUUKXu44RlVlUIVuSb+2iaTSkvLbM21+iWoLpw25+nZa7rLLzVVJfxqG36Wkdm5ZzYUCksnN6E+GJmwbqu+pKj72cfo5Jcoou8KgB/s8U615WJsTX8bKuxRpJZmThUzqWqQvPE34tzhhpFNmO5r9cn8rlI9JhAcv3+5itVuHCBS2Y7BimdnC2z0nKqCnpNJn9FoPQmCEHRYpk1jlWtTh/fKtw3VMvsf38C84y4RDuZVbWPFjJbKoijXJSOvQOGnWnuqy6sE35ibbM1LpwAr/9IfEZqSWriuiOW2USrS4zsb0KKqckEK8lTvzsl/4hSuuKQx7ePivIKhxOkUkeWigCLKygA4xTC4k9xtuCUbhdjYoVhwZWLXaR+soPQayGzPqExLt0u3KXsaKw1MmjbhJDWWmZn/qbpNul+KJMxNVSL2PAah/5AnG7GCjlUyZ0UBqVlVjOURac/LOrGJmVYXetU9DvWtBQ7WZ0kmQXx/sr5weu3CnPq92ghAk0yGTvAbpmVbamKw4YqZzdjsGYzrtwt+jXgOIPMGnOCx2/WI87qIyy3wIj5K0hpgEkDyyKWZm9qNskNUFwb5fm1EwqKRYxZbaJGv8x+EctsYoYQQOs75eDR4aMFLxGoKWZZYiKF2/ZQl6hTnCPu2bvHpDJoZCUeH3TPzSV03o/pWgzXzAzzk6/C3P9qiAceL+fh1Bz+Ycs+WzuuK6MugV7/+idD3vmYgh596VmisyXBGJ8ZPagL13HXhz9nwqei5nm4t7k+/evq4+mdkyLWFUfLrGHl2/QZvGfkZogoYluwzJYb5FXziPd65evO+6vJDNUxfOlbIkZTZnKWZUMS7GTWGOu1JWINdppvijc1bd8Oi2VWU7LwZljJYLRazNGghllIbxhfkhjj+Uus7tTxkFl5Ld1Gm/0P1BnviNbUXTUe2K2D6n3rMU7EYqpyVMXu6ARNzg2ttcxC0/titBXyJDY1OjQHjy++0jzb58L2OeYcXl9pZouPpsyIBvX6HWKto0KVQ2VVADsCdULutIecRSyzBkGViiO5Rp/7Lxh0ohijoQbh+SKNMd4Ea56EflPFp6yB7cJFFLhktiMgM8qpWP1f+HOuoW1sxs1YzRqc0aPpxCiF7WSb1ad4s6mFLd8lMhvXl4sJpLlJTbV21JZYSfKMe2DcJU2POfVBawkBsF5T1X548zJryYyWoGaG9CZYNdfyWr2J5uTuT7VaZ1QFgfrdbsl8fDw82C/2fh1KKN0uhP7WxOMcLMj3QCVbdjfjoUpclT/F2YJjT14kNcvSqukkxKQ5WGbfusKZaD7QXdRItltBWxIqN3wiBBE7ZM1HFZKcJqQJEisVNqqgbdk/HjdjZZw7ZVKXwvegE+GXW2HST83SFZoiVEuc8XehobdbZj0Oltkm/fbb3keDCF/4glJD1h4zuxU6R6lHKWEpzVNnzguqwFtfGRHsvaEoz07eV28i9D5SzI+R6/NZLbM9xoHmJau0ksJsndTeiZH/+zM649WhtOTAJiwpKRKur0O7nkyiNzFCZv0J4jrKuoln+96Xj/LWrv9xVY9c+uU1UNcthM8r7n2PTGVeT8rgtNuvoi4ZjlsrlH2FU7LpWgHPPxbiR+9Z3c1Hz8jCk9Wd9Bkz0Px+tO79yC2HXX4/m/x+Js6/nXt2/JKfPLud8dtFezm5Xel332X0P7WQlK6GhSeaZdbu3g7RvYokIiTXUFaGA6IUT2O1KO91TZQEZGBVpEnLl5xPaooFkfXYRCXVzTgUcLYASiLdLJlVLLO+xKZkJeK5EKdHiEqu5XspifPzJwl5QCIeN2NNg+u/gSs/MdpMFn1f+brwxIg34ZKKaAmgQFhmwVq2RY2ZdeqnvY1Y0KxlVrTVmGDrZ0vQvM5Km2iY81fhthtQLLM1RfHHy4LV4upUNzwxyrWoZLbbGNOIoc7TwXrx3nUZZm5L7WIq/6RHwKo3hCFFvnOy7UjW7pBCZv3WdyBCZjc69xPEemtPVujiBweXzHYEnNyMpWVqxStWS4td83zRS+b3zN7GxOiQAMpOZhtrzIlHJZYtLTZqAqg6a2bKptCsx6hQr2nOX2DjJ2ZSjuYgM6GqhMbrN8mLT3EzVhcqf3IzllllArZnGo1mBTsc0FhjZHKNQ0nQ0agqgLXviu8VuwUBt1s5vH6rMNh5sBkblJzlXJqn0UZmpbCgWvDtsLih+cW7U18ZvexA8WYHMtuCZfaty+Dlc5puV4VRKWjKPiakGs/R6Hu0/sRTZ1Yd/3Wl4h5e+CJMvNr4v/FO+JON8kc2IdpOZmWf+08Tgse0Xxp9Up6bfQ5S+63eRzln+ZIVMqvc1/oKQUhzotSjjPRRscw21phWoZKtJtFtqIjcN3/AJszJMSWvrfdk0R/12j0+kfAppbN4TgmpkDuCzPIgFVkIwl1TBA3VJPTpB0Dl1u3N97uNKC8R1kJ/mhBEvx1/kvhHf0ES+4wVro/9SxLJ/2QuR2wJ070UUrIb6WwoQo/KUqzviRl4k5LYPsqcx3OOHELAIHANenoktjaclERCqBDSzbjYtH6DSauHPSE/2wIJ/OKtOl55OETfQnF/UwfW0qdTV5IT95HUI8usEat5mlqswiHn+axFMmvbHg4Kiw/AkFNEKR8JNQETOJNZ+a7VlTm7diakiHFTV2qJy44gq68Z3hOLZbbBVLpYzxOHm65Tu2DOpdHuneqxEgu6jzXfNV+iGP/VBTD5uri7aUGT0jzKNcgkULuXWveJdk1SSdImN2O7ZVa0FfDHSWbjdTMO1Ig5J6jIbzvnQ+7o+M4L1jHl5IF222r4P4dMxWoYij/ZzI8ik1KBUSorybqvmqlaktkFj8PsP5qWWZktX+2bk0wH0HMiYc1nxv3aUV0EL58b3QPDxQ8GLpntCKgJRSSkBVYPW+NLm9Ryy4UpN4nvMiGBxTIryWyW9biaImdtbjQ3LYDMPorlJWSUWWhGGygFYLvga++PnMi1GNxc/MkikYVKPFQ3Y4tlVlmoElKtArFKWtV7Hy3G9HCybkrIxeFQ1kq+dTm8c42RKMVYcE6+37qPz+YtoGlwx3q4Y4MQJDXNwTJrE3j1sMis+NwJZptOmHEvXPQfw1oYEO+eWrvQDjtxbI9axjLOSrXMqlATJKmIvJtKn7bOhi0OSUjU8d9YLVz4Rp1vnlMKGgOOi3IumxAoCV9yNty2RlgowRQ+krKsyarsbelhU+EgvUm8fueYWTmu7cKtHXI+CdaLOVFadsp2mhr94+4Wc6bHR0KjTZiTY0paXgfO4P0t7/OIr9YM7vD6zEzG8rDuR5BVrlOXETYTVO36lsHJQigM71TqlB4AVJUJt73EDDEPjr/ifE4792EGDhSC5HXHXU1ZqpdeBWHO/aycu98J4wF6Zmok+8Uz6J6gKBeMMbFjoPnMu3XrxpOn3MSOY44l756/MuDUIvo8/nOGzZ8nXHmVhIM5w4RbYKDYT7A4lYlbdbw65J16EUNXLKLPpHL66Hth48fC8q0pSlC7xarBwSoLSvhAlPfaTmpCAdNFWLrNy/dHTVQIVhImXV0jQrUefRxKJXXQgczK7LrN9RnM92rfKmfi2nkITL1dKKLigXrO1M7R+3HOU/G5n9oh73vOAMe6xHHBbiW0hDDkCCWInZBFi6GW63m8VRW0li2zAX8L85IdTuO8OQTqhRddXanZ/0CNNcFYrFCfuWogkEjOaupVB9Y1yZdsuqpX28is/f5HvJ80kf1ehZzXpYu22jepuBx5vvWYlBxqU3qLRGY7v22asLBoA01qi7v4QSKK9OGiXZHSSRDLxlrzRZYCaThkjctz0uJKd4zMXiJ2QJ0Yo1lma4rFpJjeA6oUt7domsxfbheTixTsZMysdO9pDk7az2m/hAVPWuMdnUivxKd3iokxFGi6nzdBaCpBaJEjbirKZOhLsqaBV5PoqNbXaGS2vrwFK/QhiAiZLTMTKBxqkAlYaksFKUjrJhblT24z93EaP75EU8ureUC3WUjtZDYcMmuCQnQh5ri7xOeOuWKsaZqh+GlwFvbslvzWkFm7INP7SFEGRvYxWjKmUx+0/pbx49LKqevwqrH4/8G2mNvHuV0g7zURbllultGxwy7gRps35LOTAnNz+4QChmAny4n5TKFJdRsPNeMq7tRHWUIoEhKhQ9cRcOXHSh8SSGwwBGEZkiCfS/dxsGUmn3Tuye/n/5YfzQuzLTuJQen1Yp/yXZYssiV1PUgMaNR2CZlxva//iMEh2KD1IHHvgc1mXFsh3KhTsoSi8bzxvThvvCl4a5pGRVoyY7ZbvRfSu6WQnbGfonUhMrsFYKc8QNzHqs7mM+/SuSvP/uNG44SlsBJSM5PAGxCWU8Vq1feUGax/QKPvRh+NuV4gxDunXslvHrkLzVCoasteEM/n1AfMDmneppZZJxdjaHlM2JW04ZAQvL2JppLjl1vFWqvGO96zz/o7EmvpYK21Q9bwDDU2jaEcdgZ8/aembdmhzjlOITyaBif+IfrxsbQr1zUn4ieVWq2FdOmf8JOmrtjxorkEUCDmqkpDUSTf4WhkNmKZbYObsd1ibTzHoC9Oa3nclllZPikImd3FGprSKbrisTnIsTf6oviOV8ms128S3iqlJmywrul7J9fshNSma4YcK1J+U59Np4Fw1w4ze/fUO4TyW9OoSe1NWtFGUX8e4Nj/MxViMpa2LVUGXHwv4FpmOwJqTToJuThL61D3sTDu8qbaLDCF3sxeRs1Nh5hZNYU/KOUk+lonnGiW2dROQqi2ZzOOheA5kVR/Mhx1k2hHjT+Lhj3LRWKKcLCpVcjrF6QitauIz3CyzHoTrFY0lYSo2kQp5H/3Anxxj/M+hwskmbXXAz1UsGOeWdqipkgsypm9BLFS3BRjIi12y6zdzVgPifEj0VxNPXnOUMAcm5VRrGnxuhlH+qO4Rdu1xj2N2FQpJDu9k5m9Rf1MO7wJohTRo6OFVTYagg1Yso3bk6uAECCiJRSxv6stkdnmPDjssb6R5FF+s1/qPZJzmn0esENaUWSdwsye5v/sJN2bYFpmxxhJ5uSYmv4rtvz8K36/9GHO/zaJCxbo7NloPJvGGmG5V8jbkhVCORjoFrTE9Xq8UJSeQFZhFELWTqirFJ4mGdlREnUBtanJpBvGzJ6XJ9H/ww9J7pSEPzVEj8kVaHWKgs+YT3/UmM7eSfV0P7rUSizU0BM1GZaB9PQUCrskkVkOgXovAS8ceeZkNI/Hauk661ErefJ4m4YPOFlYwmHnGG0VTdyMA2JOT8s1x3hyNqR1sVpAoyXyUeekaGQ2JVtxM7YRL9XdsjnroDpPOdVUbi3UdqVs4DQntvSOtQRJbgad2LZ2IHppHglVYSvJVbSEU612M1bmvSY1jY0EUN4W1pYmbXqbJ7NfPwBzFMWl6lEnr3PEufFfC5hjL14LtTpWvH7z2ahK5EB903I/OUaYWDjU9P7JzOB+B2NEcraQNaVC5MTfw/8JotqYYPNsVNf+CJltB48pF4c1XDLbEZCCnpoESgpsoUYh3PU8As59ylm76VPIrD2zaySbcZa5LbWrIA/SDUQV7FqMmTUm84YqQQibI7PNuRkDkVqeUnhtzp0pHBCCTDjobJkFUZ5A04TWUPPa0s4n2OJkVcusSmYNCW/d+7DoKed9Dhcc6m7GbyiWhtpigxQYFqQuQ8z/yed90Utwky0mCpxL8zRUW70RakusSSKaK4chzxkOmO+SzIJqR2vdjFUFgz3EYPDJrBpzn2nts7gZKxmAneD1Q+EGQSpkLLITgg3Wdp3IbHNoQmajWCMitSCbI7O2LMwRy6xfPCd/ivV+RaxwLQhvcq6UnieqW6A93lYlsxGLi1FmJhRixTU/5bm/1fDj+eKdKgz5+SY5id+ngh5qjFxfY6iR8nXzKciCs/Uq4Wmg3OeirBS6lFit4qFwiLL69suYXlIsMgR379rPeYdgI/Xpok+l2RoZvXuRNHSI9ZlWF8CYH8P5z0HfowHwh32cMLCUrD711rGjKjjle6LWNQeC6al0qYTauhDlKV4SfB7rsWDmQ5DQtNjcjAO1LY8Jx5jZAmcXSmhZgWYhs825GZc4J4BSlQGxxMzG0qd4oLYl12knMtsagqTijL/DSfdD7qi2tQPiXnibuR9Z/czv0pslmkeIVPjHnc1Ykb/s9ytCZuMkhh6fc6IzibkPwhzFY0FdY7qNFmNpwhVNj4sFch2MOwuymjfAbz4XVbmrZpC/8mM481HlHdebEmip+JAKJLsbeRSEPf6m9YUl5Jp/OFpm6yujl+FzETdcMtsRUNP4S0SsFI1CuGtOQxohs72bZoCUgqFqmU3rKtyMg/Vikc9RhIiWyKyczKVrbnNCanMJoMBcKOVE1ByZDQVNMmuPvZPtSDcZTRNExrLwJVqtsdEss3K7nQAejjEXbbHM6jp8eLOofxrLvk8cEX+SBfszqNhtCsFqBkQp8I48z0pyJZzIbGOVmRQEIG+x9f8xWWYbTYIVLW62iWU2RjJbUyI014uftbq/A3g8lOWMMwWMgTNMF9lIZt0oQpg3wdSOF6yNfv6Q4TYtLWMtxZ/aEbNlVpLZZpRe8v2Vc1UkZlaWIckSJZY+u0uMNblfS4JoxDJrCEkqme3U1DLrDRvjMS2XvT4vAcNaMvvb/zF6ez15A/qRfc+9lPVNoFsJvF7SmfHvJ1GPFiEnr6x+g6H5taR1baBbKCSuTbE2VnTKoHtpmFpFuHr4u4eZ9tY0y7bWojHUSKeN26hM8tG5v1JbfNHTsO1r2PQFPNiXcLpQPvhzw2a8m/pMa4pFv8dcFBmHAV0t0abM1RYyKy2z1rCGjKzupNVD15IQFSmqIKy0Y3cbjdXNuLHGuRSUCq/fuobKBFDy2u24Y6P4k/j5t3DVZ0q/fUTWt1jcjO39UslDc+63FgtYO5JZp/nPKYyirefsNBCOuTV+shQNatytvb9pqieCcb6UaGS2lZZZ9Trs99B4D3StFUmlYnUz1nXrGtNlGNy9y7rWxYOIjKQ3u1sTqO+Sx2s+C0tliDpzXeg/TSQXlOt7r0li3KsymlQ6OoWJNaNsDXsSrPOEqhw2FHuHJZn9a2944+KD3YvvDVwy2xFQ0/hLRAS7RmssrRN6TIDeU4TwYU8mIAVDVdhM7dyMZbaF+mhScJEEMDkGy6zdVUxCLpRyctaaGW7SMhstZhagvxLzkZxtXah8CVYtVzAKmZXb68thwAwzJrg1Rc0PNtpimW2oEpm0t30Vw3mqRYbYD26I7xzqwle0SSg1pLvmkFOgy3C45K3m4y3Buc5sQ7VQtPSaJH7nLbD+v0XLi1H7VL6HFYplVk0GZi8ZE+uiWVME3z4Gn/8SFv2z+X09XrjhW1HaYrJRVzNaxmKP37ReSRcrp8RqMgZYvkvRBPLm+qQiWlZV2X4sbsZbvhTkXrXMgvAqqS+HJc/Aho+tbsix9DFCZnubfcrsY91XsdQ3pGRzSu+e3JsSpiZQw8pvRaz1kDv+j24/uZys3ul0roJffBRm6B6oCnsgKYOnFz/OylcfIqUBBneqMfuoELtAl2ySAlC8y6yLuOez9/nnU0FeWR1nEh87wmEW75jHEVuClA3MJCtNEba/uBteORd2zoNALZ0MoXJQVrnw+gGbklBvYrXMTFXWEEtCNiVrdHmesNLbcjQkdxNtDdoHRZlZyrEKObA/T6fEOE5Kxcbq2MaEuraFWrDMpnaCDCWkp9so6KckhpLx6dCMZTZHjNtgQ+tJ4QEjs07Z3B0UUu15zvbApW+axM2u4Fd/y3EV1TJrzOFtSW5lJ7MGoQo3Fy7lBC0OMhsKWImbL6ltioLWPl9LCJdSbUDKHOGQWN/tY6rbWJh+D1zwnPitynxynnbKZtzMNYbt40B6ONaVmUneDlc3423NhAq5iAsume0IRCyzDm7G1YVCuEuNsugC9D0Krv2fYWmxZTNWk6lIpHYRwnRjtSDJXUeY/2tpcpftSLfbWCyz0WAns81N6KFGoekL1DqXBckZaHVtS862TtT28h/qd6cEUPUVIlPkBc8b+yt9W/oczFKKyh+K0HUzdqQ1lll5bCzkzCmlf7zYv1p8SuvZwOPhpkUw9NSWj9UcYusaawTBmv4r8XvXAltseAseCBFrofHcy/NNF0o1W/B3L1iPCwdEttw3L2veml9bbN7jwmZq5Elk9IDL3jaVK9FiuL1+s11p+XaywkgyK6+zzW7GLVlmm5knpDDy0c2C3NuJidq3L3+rZC6PNWZ2n+ivzFqb1dfBu0MSk0yKdXH+zxNg2pvTaNgxhzAwdLJwt+19VHcqMszxVh3w0uhPJfMPT3Pjp0JITu3aaF6bYpn1dRfCdfGmdZFtF31WRedKeHvevyisbX04w5X/HspLL9xKUgCmdN3kHOdtlHzrm15CyOchPbfBVALan6nNatmrk+Ja7LRmhINC6ZPVp4nwmT55DJ1GVPHBUdP5dMZvnS/A7nboWD86iptxOBYyq7wHwXrhCRWNzMaCSKbuKO9Oco7of01R6911LUkMD4Zl9hDMASrHhJ3gWO6xEgftBKkkaU6B3hLs98uQKeK3zMaRAMpegaIlD6OWEBlTcRJiS3kyxc141u9h5RumTNfEeu2B6XeboRyqd1blXtGOHHMxjvcmZFbWTS/abG473CyzocPQeHKIwyWzHQE54VpiZg1hSAoksS66TSyzyiJ/yVtw42Ih1JXtEFqrnAEik92oC8V+sdaZlcJ0TBl+o1lmpZuxMfHJF7hkm+muFrkO43+B2qYa2RN+K0oIqDj6FpFgKnKuRJsLjK00iURDlbC81VcKi5AqqElsnS1iag9lBBtMpUarLLOSzMag0bTHfMYCO/mUVkR77b5Y4FSaJ9hgaK2V8ixKxtkWyZt9jK18FR4dBQXrreNolYNr9bxHRN3kZS9Zt6sW3Zoi05opE19c9g5c/03z/epm1BKMVjvYMdt5lCzMXqXkUdyWWTuZjeLRIQmEJJJOsAv6krDIc0j3sxHnCEWBjAVuKTmNaplN7WIKVp0GNtn16fJ6bqvoRWNyJndvepVupTq+oE5juJG+RTqFOYl4ksXcmJ6eQuUUUziqDnjZWVPLuB1iTOd11vAlK26MSmKa7N5CiPt2oRnP3GBcZlY1FNe1LtOxrussT0riqA06NckamV0am3oNQMT1fKT+ASPP342vcyfoOlz8z34/bWRWk4L/lJugy1D1H4Z1ycjsnGWzegMjpp5C+VFDeCN3OknpLcRXR9p1qDPrpCCqrzTfyebGhLq2Ve3HyfocFyLKlmgJoAwFTrDu8LDMynNZMtUeYpZZUMisTTy11IA1lKIt1ZltC5m1k2ljDMZtmfX4Yi/NE6mn7FC+pjWIpRyiE5pYZpVxsvotpU55C55+6rpdvsvqgRhj7HHYYxujMlxPxsvmDDz8LLOBmoPdg+8dXDLbEfD6hGvF8pfhoQHCHVZqmqWbRLTYHjvscUZqMfmhp0LXYVbXmy7DxCKQO1L8ttfxsuNAuhlLwvjEBJGNVYVqDbNbj/tMEdZpFSPOhpHnmr/tCaBCjWLRjky2Rl8rdkNDBaJ+YGbTeD557KEeQ9uoTIatsZxKsnSgLLP2Y6Qix167LxY4xcwG65vWp1UJVYuW2ShCXMnW6C6+EvJdLd5s3W7xBigx+9BYJa5h4AlWwu2ErsOE+/WYH8febyftfW2ZcX+M8d3mmNkoQkt2fzjvGUFEo8HeZ6nIkueQmvYZvxGf0h0t5pjZfQaZNYQjh3JDPb9s5PrPwzxWrLG5eBuPPxPiT2+F+N3MARy5Sae4uzLPebyM71LFnNFizvDOzmTXdhFT/eV4jd9foGSq9fgsltk+3bpQ74eGXZsiVtj6BNHOsevCFNQUNH9NErpueYdm7prJrR+GOGaDTvUAj5DRgw5kVsnLoHlA6z8teqK+aAoIJwWmtC7ZasxKeHP6MujO2Vx1wnguPCLKO+7oZmx7r+sraGJF2vBRyzGzYB2jESVxjOuqEyLW/GhkNqfpvhe/ASf8XnzvPLTpMU3OoTyTeBMLNduuca/V65fzhCXT8iFIZsNRXIRVRcbZT8AZj0C3Mc5tSJmktWTOCcYY1LV4yayDO300SFlJKpNaWsdaRJyxshL2mFk17jscVOTOGC3Hx/0KhpwqQmkkWmWZ1UxZomiTSEDVZagI1TuccLj19zCAS2Y7Cr5EscDWlggXXrvAHI9lVhXsJalRs42qQopcUI/8OVz+HgxzKJxtbx9M19xobjxA/G7GzZAE9X60NgV9OGAuhDKOSWaVTO8uyG15nmnJTMoyJ+2QA5mNRtIPBajW5la5GRvjJhaNZmvIrBQmB59sjgOHWLuYYLfg6LqR4CjJKqyowmVLcUbqGFPbCAdMUjriHJMYjbpASU5ijIvirdY27a7tqnCalBV7HcYbF8L5z7bc70j/be1ungm75gvhIRIzGy+ZtQmB0QQPTYOxF0ePqYXoZFZeyxXviayosrSO9BpoyQVS3k89LObPxHQROtB/mkM/xceZ7wT4zyNiLA3Ig1HLjMzA45TSIh4fXUJhUoeI5+mp81CxVuz3WZ9jKCj+qXJt1pjZgelJ7MuB7iXw2DffsLpoNfUJ4nwnr9ApLtgZ9XLK6sv4dPun4sfyl+GREZFkX/fMupOp68W4G9LdeB+j1cxWYWQqBpoqkqKtOU6WJ49PCJH15Y6WWQCPR+OOk4ZYat5a0CQBlINltqHSmgm481BY9h9FwdHMmFAF/3Yls824GUvI92PY6XDsHeL7dXNE7cyYz9fGzMIqEjPg+N9ak1o5kdl4rYwdAXkfmuTOUO5PSg5Mujb6PC/HVVsss3a02jIbR8xshMwaCRLbapltLdR7bfeGCIdMJXhLllmJQSfApW9Z1zW5PkbLlC9PJy2zmkd409WWivmgcB10HizWnsPNzfhw6+9hAJfMdhRU60mgvvVkVrNpsxurxaKrCptq/G2kiHWKmFBiaR9MoaItMTVyQpQTdHMWL3Wyb80C2yRjaqNYCKRg5EsUQlh5nml1TcpUMnXakmrpoaa1TNsKXRcxmO0Rg2qxzJbHf3w8bsaqe3xLKN0u+lZp1JeddpdIYAZGaalWJLOwK3AiZToSrKSr2fhuG9TFWrU0NVSZ7Q8+GSZfJ74f/xsYb5RHkOPHPj7U8Z23ADZ/ofQtFnd9A83dIydLivruNFTBJ7cLYejYO9ovZrYtsM8hEcus0bfek2HST03hJhIz25JlVlm+UruKa715KQw7w7Kbruuk1sPqfhqLTrZa2ZaPm0FR555MvvVmc6Nx7VNTzXuWsHARYaDnoHN49WqF+HoTLOQux6uzN60zPUp15uet4abZN6EpOrHqvO1RL+fX837Nr+b9im92f8M3/3uWl9ZlUF22l+rGanoZ3smBzkG65xj3xx5f5wQ1ad7pfzOzvyakt5zUy76t1CBmrQkVgKbP06l+dH2FVeF17J3iOhc+6dyGCotl1nBdP5Buxmo5PKd+JaTE9963J3HRNJj2f5Y6yJH2M5R6zIeiZfZH/4Gpt1sz3kPLYQcq2sPN2I5IzGxr3IzjjJkdehrMuBf6HN38/gcK6rpqV7KEg2bW8VjXFbXahoQcj80lP0WxzHp8QoFUthP+PhS2zxFjxJ98+LkZq/Kbi3aBS2Y7CupC1VhttVJ6E5xfdid4bNpsmQhHhWqZbWGiaNq+MlG3RA5idTNWM+BFg0oEWlPIXd5faa2Q5RKcyKzsT2KaKWjb3Yyh/V2NS7cLorHh47a3Ja8hKattCaBiEYhrFfLd3DPUdXh2Oiz6l2kZyehujk8H98SYYHczlu6Vdstscy7xdqhjTK1/WVNsdWmcfB1cM1NYaKWwLMeF3c0zUvM5WySn2P610rdWWKSd4GS9UeeDhf+Eyt3CDU91w26rm3Fb0JJlNrKfTzxrOTZbmgfUZ98MaSmoLKBLBXTNqufqk6fyzJEnUNenkcFX1XPZm/9k2vxZJGQq98e4Z6mZ5ngavKuG+SN9PH3NKRwzSAnj8PjFHDv9HtGlYB3TjzufbuVwVP42Ou0oY0Q+BGXFs7xdUfuZX7mfgXt18q/7OdWzSzhyuYeNa5aQX7WXGz41nvHUSlM+l+PPKXYWYNzlwnIhkZQBR14vvjuRLDmPO5JZjxAiIapltkXYrf1OWcrrK63vSu4I6HuMVYEVDaplVlo+mkus2BLkmhJNYFfvU3uQwgNNLOX8dai7GWf3gxP/0FSpF09mYjmu2pLN2I5hZwJQkTmshR1t8PhjJ7PS/TQpC467K3Y33gMJ+3wQDpp5D2JdV1RvCwk5kbVg3TUts14xbxWuN//ZZYiw7B5uZNa1zLY7XDLbUVAtsw2VVvKWlhu7xUom4pBorLEmdICWS500B3XiipkcRCGzXYaK9mRGu3AgOvFVXTRbswDZi3rLbK5yEvUmCItCRZ7iIpNqXq/dzRjan8zKeLb2iJeQAn9m79aX5oHYFgEpxKrndUJ9hfirKxOWEc0jxrZUqLQmXhYcyKzxfHyJVtfdRNt70BxUIU6twyzrRoIgWx4v9DlS/JbCshwXdhIhjzv5zyIzsYp4iHYs/U5IN92zVEEpb4HIiNx7svjd6tI8B5DMVu2Lfg5voqmoibU0DzQhszsqdvD25rd5fPnjrF2/FF8YUlOCkJzNDffexISji/FpUeYio18paZ1561gxvioTkhn3u9fwOxFwgGN+IT4DtfS//hoA+m3fw13viLm63rgFRTvW85fFfyHkoBTaXx7giq9CTNiu03+PWA+K83ewad8uehfDtm6QkqY8a+nh89Rk5+uQGUUt/TU6oloVm1y/w/zr8ZkKqvTuTf/fGjjVma0rsxJtj1+ZN7Tm1wZ7fGFCevzKXBXyWUcT2O1JctqKA05mk+C8Z+GIq5VztqNr84FGPH2NuBm3U/1bENbS35VRmxqnMsfrazkPA4is97sWiO/xWPQPNBzJrCE/xLquOJFZ+Txl6bAoiJBZj08YWNQs7tn9DcvsYWLp3LtC5NNwLbPtDpfMdhRUy2xDlXVyay4TqB0emwDQWN3OZDYOt83hZ4nPaEkYOg+G4+42f6uJA1SEQ1gIcatiZmXmZNUyq5DZhDRhUaivMF3QElJN649KCOSzaXcya7jrxmINbQlyMszsKfppT6QS6/GxaAiLzZqZkUXMCZKshxpFhtq0XPFc5PhsC5kNO1lmE63WuRZibyxQXV9Vy2xtcXQrUKyWWV9i00W+vYSTSPxxkpl4SL03oYB1PpDju7Uxsyf9EY6+tVVdNdtSFWSK1c3pPfclKDGzcVhmFQtcRUMFb912Fv4bfseij57h4/n/BKBLciOk5DC0hzE/RlOsGf31pXfmnh67yehXy/4b7uLIsco8J60K8v76EgENGmvxZmZSkOUlubqEbOM1q+87hDqfh/TSWl7f+Dpby23x1oBH81OQJYRvacmtKtjD3q0b8OiwbXSQ/kFlngrWw9r3RJZQEIqti98w/99c5uvmPIGiuRlLhVI861VzkG7G6nOoLbG27/GZrtEtkT17IrS2uBir54smsKueA4eDZRZg7I/FmjHxWvG7PcnegUY8Hltynok1pjPmPrRCZPb4o+cLUefu1y6COQ+I7yltkOHaG03cjEPxk1knC3NWH7jig6aVKmyIxCh7PE2Vwpm9xTMOB2NTGBxMhMPw0lnwyW1WMhtrcrADhYJ1TauLHIZwyWxHQV1o1VIDEF+SCs0rMq5KQubkZtxcMpYW29dMQa0lS9fI8+A3hSIDazRMvQP6ThXfQ0Fny16NrVxFa6xCPifLrOJmnJxtusfJlO4JKUrMrCIkhg8QmZWxp61xiaktNcvbgDkZZvQEdCNDcxyI1JltoS+6LlxmpXDQ0IxlNkJmA2J8RuK1jfHY2lg7ez1KWfvVl2RVvsRjhVEFR1VpY3czVhGxzBouVtHIrErgJdrbzdiXBOMuFd/tihhL8g5jfLfWzfiom+Hk+1vXVwn1PnYZrpzDQTj1Jppa9paEe4tl1iRAy5bO4ZyFIYbugZ9+5SchTyzU3ZIbTQULNI3XjLQrrt2b1pkEDXpOKeecGy627nPkDdY+app45oZyqC7Bx+RNYhy9MvYkRv/rWYrSk+hiDJ3tFU1jZ4fvDTBjjSB2n80QfWwsK6F6l9j3qmA5XoBORhxksB4WPKH06XprtlCnfAfyfVfdj6Ncv+O2pKz2q4cqlRF2Mqu+jx6vqZxtLoEgtFh6KG60RGYtmYjb4Z60Z53ZlnDG3+F3rSi5djART/6OM/8Bp/4V+hzV8r4HGl5/dKKljukKhVDEk/+hOQwy4vsnXdv6NpokgFLcjOP1+LFj4IwYYmZtbsYqsnqb6/Kh7rpbkS8qG2z6zOrt9umdB61LALx5Kcy67+D2oR3gktmOgrpQNVRZJ7F4NMiSaD4+Xnw2VjuT125jBJFsDaTgEkupgJaSVnh9cNUn4nvYRmb3rxGffx/ifP54IIUJSSjsltnkLJPMFm4Qn/5Uoe3TPDZCcIDcjGXip9aQ2WeOs7oTRtyMjWQe8boax5oAqrpAEGXpCiTPW1fW1BoslRKSzEp3xDaTWaXObEMVzH9EfG9imU0WLr6Xv9dymx4b4es9RXyvLbGSUhV2N+PGaptVVLHo2hVB7e1m7EuCo28WVlPVU0PGikf2b202Y5/QeLdHzJnFpVspm+PUtjqftDQP2BNAGdi8YA4An046ia6FjVzzpXhGSSkh4Xorz5E7yrldo1++1GYEypP/BL8psgrYiekRRUddkhg7VUkana+6nqweuZRnZNC5Que8BWEKFn3dpMnLvtwX+X72LQ8BoJdXoO8TbnUpacZz7j5OfG6dBQVrlH77rP1xUhbIkmu9nFyTm4uZNZ5VWwmiCvn85PhtrBUCqYXM+kxLbTTlg4Sd7LTZMusHtKaKKbVvln3biI6MX9VacNk+FBGvZXbKDYeG5bm5BFDRSG57KTYye8EfKqDH+Na3YX+vwgHFMtvCuvKLVXD1F83v0wIsCaDsZDatm0mGD/W4WVnKLxyEpc+Z25e9eHD6A2K9Ktt56JeijAEume0oWGJmK4SVUiKeRVcuQNIq5BQzC/DzeXDi7+PvJ5gEob3iaTTNiPUNWC17T0+FvSub7t8Wy6x0M7ZbZj0+s4SGJLNyEvTYNKetcTMOh1p2c4m4GUdJ2NIcKmxuIBHLrOG665QEKtgg6vmu+6Dp/2KtMyutwZLMNlRB3mJ4sB8ssrkH1RpkduVrwvotLbPS/bc9YmZ3fmtu99rqzPpTBcGLJWu3xXrphWv/B2MvsZHZaJZZZVzI+wiKRdffVMGUcgAss9BUUIpmmW1NzGw0IT5eqMJQJPmM5ixoWoh4PJZZMYfuqd5DYMUcAl646rE/86+jLgcgdUCD4E7p3cVzvOozuOR153aN+c/TXLiGx9NU4EzKiFgsGgwyu6x/Dj+dIZR1dTmdGVAAl8wNk/7yF+RVWt/p6jSzveE9x1OdBP6KUlIL9xP0gC/ZIH09xonPfauMvkQrZeJw/469Q2QYH9VMvXGn+VfO220liJbzGOKHdLOT84d6373+2MNmmlhm28HNODEjOiGyuBm3Qybi9qwz+33EoVhGKBY0Z5lVPfQOVdjve8iImfWntqwQye4HfdtmHdc1WzZjicveEXOIdCU/1C2zJdvEZ5dhZmgImJ42B+J81UXN7yPlu0P93sUAl8x2FFSLQ5vcjG2PLJplti2IWGbbMTmEx0iCYHczLmkaO9Y2y6wszdMghAOfQUA0TWj1/KlQvR/QzP85EQKIj8y+fA7c34LQJd2MlzwLL5wae9sqpEtehMwa5GDte/D53dZ9K3aLWIh9K5u2E2udWalN7DnROK4aFjwuvqtuz6C4ixt9lAlo+h4FA0+wloSIB2o9SukiDs6W2VjhlLwlpVNsbsYqgd3wCfwhU2SqjpDgxKbxu+3tZixjkDy2hHChxqY1Av0p8b/LHm98CbWaQ1o3MX5OvE9ktwaiJo1TiUM8MbPJOQTDQW57+xqmraln54Qj6ZyTzvhrLuaqk35N74mGC7yca/sdE/2ZyPknXle/xPSIxcIfFMqXuoEDyTCIrZZrjv+C9CD/Wfcfy+FVKcr1JqRSnxZGr64lq6SYsgyfOfV3Hys+pXJMzv+RedO4h05umWld4fh7m7+3TgKqJJr9jo1+XLyIuBlLMms8IzVeULXMtgT7NbULmW1GCdTeCaAON0tpR6OjklX9YhX835b2a6+5mNlDPc4TmiqJgnVCaddWF+O4+6FYZntNgsEnie+RdfkQI2TLXxaygUwUWVsCaGayQBDfy/MOTNzsExPg8XHN71NkGHa+B2T2MFV1HYZQLbM1Ra13M7YveI21bcvY2Nw52tPtyeuHvIWw7SvrdjUznbpv3O1LMists41Wy4nmEYJyVh/xAvtTTMuA1yCzZTvF/WwNmd05r+V9apUYpbyFsbetIhQQ19VYLa5BTu6SYE6+DjoNFN/lva1x0M6pbsa6Ht36ULRJZAWV9Qor98KWmeK7XbEihVEJSRz6TxN/rYVaj7K6wNzuS7Im5IhHqaOObUkCUjuLhVq6bDdxM3Z4zxY/LT7zFkN6rtm2nUgcCDdjMPquC3dnj0fMK5Zr87ZO6Bh1AVROaXN3ATE//Wy2+L6pBZezit3m95bcCtW50ONhe9lWJn2djzekceS9vwHgiqP6siKvnD2pd9Br5SOxEfRBJ4ixHK+SMDE9Mmek1oh5KLGPGZua3mdg5Ls3BIV1hZbDG72C4Jd2AfwpZCUF6bxNPMuC3g3mjj0mAJrpjZGQKr57FQtGOBCfW6YKp9qcJ/9ZeLlMuKJ1bTpBPj/5bsv3Ts207PHGrlSwK0Hb6hKdO7J5N1VLLc52WCsPBZfYQxkdZZmVifXaC16/1RNPhd0ye84/oU87zbvtBfs62FAtDDIdRGYbE7LFHHDqA2biOvXd9sfgZqzr8O1jMPR0Uc6nIzDzt+KzvkIon+tKxdw28jz44AYYc7EIuwk1ClmttSXPmkNz1SfA9FI81BQBrYBLZjsKqmW2ap91counFp4aN1S8BWoK2989KUJm29kyu3upuNZek2H3ErG9woHMtoebsbTMRixAhqAgyayqAJBW4//dK4TpSMxsefz9aE65UFfqvD0eBOsMMlsjJnF7VtJtX5lkVt5be4ItUCY5XdyzaPXsijeJyT/BWLhWvWHeH3t6+Whktq1Q3Yyr9pvbfQlW65w9m2lzUMeY3RJXZSRXs5MBb0LTMkFyjHi8ZskgO5HN6CVci9oDdjJrsW55xDi2xwPHGy8LzbuhtgVqjcuW0FLmUM2q2Fu5axUnrdDZPm4io4YJ5Uuiz8tTl00AJjAn6zimx3LevkeLv7zFsfcVxH02yHhCQCjEsvuPjvy71wDTnWz8Np3le/daDvc3ijXhyHPTwOMhmxDSB0BPM8bcxW8Y9bH9Zny0nK9Vjxq7UiMWSK8PJ1J19M3xtRULJGmWVgk5d9vjplttmXUoTRQPZtwT+76HYr3W7xsOpzJCKqRyyQl2Mtv3aGupuEMBdgNKsE7kzIg3qWArEfYmwF1GwrwCo8ashczGkABq/Qcw6/ei9vtPPjwg/WwCSa5lWFldmVBq+5Phrh1CCZm3SPxv6yyY9w8RTnb3ruZLp7UWTsliZc3e74Fl1nUz7iiognZVgc3NOA4yq7ojPDtdfLb3JB8RitpxgZZtDjgOxl9mblfdjKWGrVVuxvZsxoagJ93iRp4nPqX2S32pZVHzqv1G2aQoCaDCIfj6AauF1Y7q/dH/V1sW27XYoWb7lAJfoE6QZvuColq65feq/fDxbaLGmYRaYidQK2JRP7kDzZ6oomgzdB5qamH3roDMPtBtdFMyayfN7RVfpxLIJpbZVpJZe8wsmCV6ZBy3feLXtKbW2boKs49SQZBg01jfsU5xr20jIjGzxniXfZfzgt3NOKtP85lrOxotCWrxxJMb116raVzw0QW88r/7SApAt1PObEMHFcSTPRUsbsYvnnQBM8ck03+4mWipf7+syPf0epjw+VZ464qIJ0hCY5B9XTR86ca4UzilL9V4L50S3UXKBPmsn4e68K/ZLLPSq0Z9jz0O8efRYF83Og9y3u9A4FC/198HtNbT4GCj2ZhZ23an2tCHIqr2d7ybMZieaOp9Ui2zZTthw8fWY4KNMOsP4ruaRfhAQ85nkijWlZmhLSk5Yg2X6+Ent5t5UVQ5rbUINlh/r3gNHughwqFUFH5/3IxdMttRsJDZfUJTl5wNiZnxFaFXyawUnlvKKNxatOfiIRf7xHTrvVBjIKVlrFVk1mg/IuQZCaByR4hsfv0NUivJrHofvQaZrS0RwrSM4bKT2S0zYe6D8MWvovejqiD6/+yW2Wh1LlX87174o+KiKrV9AcMy67PFicpspWCS2X0rRca8j24x/6e6nwTqRIbg756n306lTmUoIMh5dj/rGBt1viBsdheWWhuZjcfjoDloHvNeqWTWa7fMxqF8sbjiGmOnm5Hddud88elU6N0elytLIi193nTnPhBaVYkmbsaSzBpkJ2SzyJ35D/jRKweuP/EiMV3UFTyqPSx9gu19k5bJ5rLN9CoWY2TokW3I3Kki3vkvMUO4yn75O+7zvM93gy6iW5apbOqUac3Gm1HWSHjDRxFrbmIgRNBPJN469whTWZSaJsms09xosF47mT3UE+bYFTFBJzLri9391v68ZMK/jkBbFL/Xz4MLnm+/vnxfcaiP52hoNpuxYtRIyoov70NH47xnTS+Jqn0Hh8ym5YoM/iPOMbepCaCePxneutwq3618TZDYPkeZoWStQbAhNpnNDkkUa0ubZmPO6Nl03pIEsy2wl1Bc/4HRtiFvl26HD24U8pQ34XvhZuyS2Y6CJQFUubBqjbsMbl8bX8yr06TY3i5OUlPe3m7GIAQ+9V6olkQ5KbXmvE2yGTc6u19HMuwqi4bHK0hAbal1ErCTWalFtVskwSRV0jLbUCXK6eQvMfexW3RjSf6w8EmrW6u0XAXqjMQ+PutkqJJZuwt3okLOGmvMJEWBukiSgt75HzRNMpWYJgTKTEMRMOoCYS1p0c24HcmsXJxUZUEo0Pq4NSc3Y1mLuKYQ0Jzdc+W4scfA5i2A1W+J79L1++wn4KKXYu9TLJDX6HdyM8Yhm7E3fgvjgcb4y+GUP7e9ncQ0qgpT+Sx3HEev9nPrx2FCmoeMgf3a3jbELzwnZQgXvG8fY6C+i/t8L9FJyVDsqS2i93ElVKSK96tzBZR7PLDxU6gqILExRNhPZD3wZyZT2Ensm5pks8xe8pZ53sPBMuuk2JIkVc5vcu62x3zHCvs478iESm1Zg7uPgdEXtl9fvq841OaxWCHDmJyguh/HY9Q4GBj7Y1G7F4wEUB3jZmyBpom6512GmttUN2Op7Fa9xIo2ir4ecbX47ZSnpSXoOjxxhEjc6RQa1xwaHSyzEh4vZNuUbvtXx98/O2QdYAkpJ8jx9vh4QfJBlPEM1jUttXiYwSWzHQU7sQoHhWYr3rgDRzLbzkKLJDPtSZIlGUnKiO4OanedjAdN3O8anC110uVyyo3mNo9fTIQNFdZMtXYyaxe+nPouCd6e5cIi+vFt4negTkwYKmJxqbSXR4mUZKo1yb/q+qpaLiutMXkEFPLZUA1phpY1UBtx9/boQcX6W2tt/5LXYcZvhIuxE5mtUcjshS+0nzAp3Ywba8TzGXi8SGef099qmY1nvDolgAIxsYMYp04xm/JeOCWl2btCKAjkuJvwE9O9vb3gVJoHorsZH6449cEWdynaX87urzKZ8dJmbvtUjNnqzE5oCe00b8V7H4edCUdcBSf+AYDcwUdEMhmLzhWQ1r2BCuOV7loBhR4vzLwXnj2OxMYwIT+mcOZPps8gMR/1T7Fl2FaFIklm1QRQ6r4HG78phNvXNd1uV8TIuU1dH+ScO+2XoqRQc5BKvTE/hjs3Nb9ve6O96oK6iI7D2c04lmzGMoHgoQzVGnswLLNOUN2MpYK+yqzZLZJVZZilASvy4z9HY7U4Ln8RvHCK1fK7+r9Q7FCVQ0Im2awpdpYb7Imf9rUDmbV7zUlZrK7cmncEhDINmsqnhxlcMttRcHIFbk0dR7nwDz8bcoxEPwdKaGlPoVgSo8SM6DFQkZjZNlpmdSOpkZNltvtYuH09TLza3ObxmRbNCFHVHMis8bo4uZrIbVIgk5OpJJdOcbYt1ZgLNjQljIF6kTystsS06KtWZjVzceVua4mYMqO2WTgsiK20ltQUCouyLJ0jzyk/5fPqNhqO+6UQMBPSrH0L1FnJcjzxqy1Bklk5CY++CG5ZJq5bJZzxZAO1lNVwIrMOLsZgXle0si4H0sUYmnEzDokx2JrEP4ciJl/X4i55u0X5jGFGAuTqnv3o+vDD7deHeC2z3UbBWY/B1Nuh22hSvYrFsXRHZPzKUZoQhH3fZbGvMImq6v0kN4bR/br5zmZ0p3//av518334U41nqoZrSMhxH0ncd4i5GfsSncleVDdjh32P/40oKdQchp0hPo+6ueNjD78P79yhjsNVSSdzcjjJDWps46FumQWrzHowLLNOSEwDNCH7SOOQSmYbKsX2CJnd3aSJZrHk37DLqD7RdYQgtVI2DAXhvZ/B8ycJr7GNn4nnrMp7r18E6z8U8pFT/gq7i2/RRrOcT2uh5kTRdVN2rSmCbV9b95W5Qloq03iIwyWzHQUnAtea+rBy4R99oSnEtHs24wPgpiZflMSM6ERBkrK21pkNBwE9eixxpq3eqdfXNHFTSo6YsCyuF1IMbSZuorEW5jwIu78Tv2tLhMuzjJcderq5r2qZDTbChzdba7dWF4pzSaUFCO3ZnL+ILMOKBcdyTDgs+lFXJgioRF2p0FJKrZ2Mf9m/VnzK+pXy/3YyqyIh1ar9syd/as84bklmpWJAzWSotdL6G9Uya9yvqGPUUCD4EpsmeoKm2aXbG9HIrB4yvTYOV6EPqKvzsLA6lbpwQ4v7Fu3Li3yvnjKNSbM/Z8DUyc0cESfaQgYTM01Xr9l/FPX+9q8GfwqesKl06bbRT/lXOdzSpQtp9TrdtaCppPrRKzD9Hh6/6SK0iNeK8WxVj56Im7HdMtvacdBBJWJUy2zZTmGhhtYrwnL6i/wI0tLQkXDJ7IHHoaKciRfyPXTyqlNJx+GQ/EktbXbIWGaTRRmt/MUmwbZYZivEdhliFo+bcP4S+Oz/YOET4nenQWabYMqNdaXwzynw5iWivuy+VdZ23r5SfHYZ3vQcvSeJz4vfgDP+LuZDmWW4tVDD5Yo3K3G7JbBttrX8mozjdQqfO4xw0MispmleTdNWaJr2ifG7v6ZpizVN26pp2luapn2/VgcpBKsWndZYZiMCayIRoaO9hVfZXnsu0DKzW2J6dKIw8WqYcKVJquKBWmfWKfaqOXh8TRM3pXQ2XFuVSUHeeycNq1Qs7F4Kcx6Apf82/qHD/jWmpm7KDXDeM+K7qpXdswxWvALvXmtukxPm2EvMbflLYPP/jOszBFyVzOohQWKli3GPcdZ+lu8yJ63UzuJz/xrx2d3YV/7f7maswu5mbI+XbU8Fi8crrktaZtVFv7WuzE4xs2AKwtFIqbzX3gTnEIEDbpm1uRlHYmGCpqX/cHXHAz5bPpisTzL56It/Ov5/S9kWXlz7IiV1JZQXm270I37Tggtqa9CWeTUpQyiOAAoMZdHWWZDdD49DlEKwIIGkAAzpVGF6TGT1hul3i7lFPm85p1kEySgJoA51ghXxdAnD4mfN7Yd6v51wGCuQDhscrnV45fvoFDdbp1Q4OOwss4cImQXoe4yQjeTcUZ4PK98QxFJaZr1+ketC9V6rKW4+d8mCx432DMVpzgDxKWWzSoU0S9lgw0dN4177HSvuXVcHMnv87+DGRTDsdBFCBU3JcLxQY2afP9kcZ5V7RPnGUReY/5fP0e6JeJjhYFpmfwGoabseBP6h6/ogoAy41vGowxVS256QbgqbiW0hs4oA3t6L/4EQhmTCHH+SM5m9dYXIUHf24627L6qbsRTqY7UOevwm2ZaQVsu/9jZdTCJuwQ5kVlrM1VJD8jrzF5uW2eQc876qZFZOXqoLjJyQeh0BZzwivn/9Z1M4jpBNWwbEmkLhYgxNFQNlO02CLhM07V8DaGY231gss0mZwqVVapbtmYwPhJtxxDKrktlWauujWWYzegqFU0veA96Epov5gBntV082GuwJoNSYWTk+D0cyYCCrSngrVM9exOsbXueeeWatz1A4xJ1z7+SRZY9w1RdXUVwo3Iyrb7mB1EEDHdtrE9qiFEjMgII1wtOi8xBze1ZfNIfp45z1AUIJiaTmNjiXcZJzmRToVa+AaDGzh7olK+JmHLbmKjgcScth/M65OMCIWGZbIrOHmGXWSSGtuhYfSmS23zFCHioyKMX8R+CDn8NHt4p7LPud1tVI8IhwEf7bQDOviR0l22DDJ+J7hMwaLrkRMqtYeSdeI3Im5C8V+TNUw9VPPoRfrHZWdvsSTJKb3V/M7a21zM57RCQU3LXA3FZfbmZIXv+hMDwMOsn8v3QzVmXXwxAHhcxqmtYLOAN4zvitAccD7xi7/Ac492D07YBBxkGFA6abZKvcjA0yq5YsOFBktj2FocveFvEGuaOdYy2kxqu1UBNAxSvUO2nVpdUSYPHT4lOST7tlVtdNMlyyzdzeaRBk9hZkVlpmU3JMoldbAk8dCXmLzdpiDdUmMZaWncRMGDBdPaH4kGRTWk4ze4vP6gIxaQH0MMqUHH2r+HzrclhiWEGkBah4k7ACpRjXHAuZzTLOVW4kU6ixWWbb280YhOuQx29Nb99qN2O/83dNgzMfNe+XHaqbsX0xv/w94SZ0IOGxWWbV0jwLDFeow9BKtK5kHY9+9w8y6oXAF9i9gb8u+Ssfb/+Y0987nfM+PI9NZZvYUbGDswacRXFdMTv3ixJKuaed01zTrUdbEpjJufOpyeb7BpCei8eBzA7ZqpHVrVoclt6j6Q6SvEas72qsuHQz9lrPrR1MXXUMiFhmQ01LSRxucMmsi2iQc3bIwc1Yktm0XDNfw6GCOzfCbWut21RDQzSF78FAn6PFp+rKnd0f0IVbsfSiSu0C1YZlVirgV77q3Oba98Txad3MXCqS+G34WCT5/EiRE5KzhTK7oQJ2fAO9p5j/83gh1SH5kx2aJhKBqdbjWCBl0tn3wZuXCuvwiHPh+N+K7endBNGWGDhDfHYeasTxasId+TDGwVLdPgrcBUhpsBNQruu6HIm7gZ4Ox6Fp2nXAdQC5ubnMmTPngHbUCdXV1XGfN7N8M+OBxvoa6pO6kQEsW7OJql3xpcMeV1pCFrBy1RoG19aSCqzdtIXi0vj60xwm1jeSBqzdsJni4vZrlxF/ge9EVsvptn853c947/M0zUf+jq3sq5/LFGDj1h3sr2n5+LEVVdjT+eyuCGCkC6CocD/r5syhx57VDAFKS4pZrfTLE2pkmvyhWHjLahpoSBpIl42fUVRSSTfgm6VryazYyFhg55yX6Ve0kbL37iChsZxUgHCAhTPfoyGpC10LFjECWLx6A2FPIkfZ+lhRvJcVc+YwurJWvECkkwVs/fYjBm17AYC5a3ejH/c+oDEdw2XGEK7X7SpipNFWqZbDttUbmASsXbGEiu3VdC5ewlBg0fI11CdbJ9eMimImAGvmfUpJ50J65S9iEBDWfHj0IEuWr6I21SHpVSvQd+cu+gMFW1aS6c9k0dy55j91PTKW4n0n5XHzl60j6M9T/pMFRXWwvWl7Q4rL6QHsLashqT6AWqBnzjffxHzu1swhAF0KNzMS2LhtF/tr59C1YBMjgKUL5zPpO0GkN23dwb7a+Ns+mHih6AX27l7OKUYYefeSEBfO9dKtIsgTZ+fjwcO1n17NZV+HCH6Sz+kzLiWp4kWgjg1bt7A9b0eL54j3nntC9ZH3Ot5nNWHbYjKAqrQBpFebhep3FtejOUz5CXUe0nsIbf/STbup2WM9X1K/m+np/5xt6/bBeuGhME3zUZA7nbTqbaQD3y1fSfWWKibU1In15bulVGWUx9zn5IwzGJKVx9q9fkKF8V2vHbHc6y6FmxgJrJr3Ob325SFFvTlz5rT6ne5oTDc+5y1cTMjXCuV0O6G188nhhunG58G81njvdY89OxgCLJg/l8ZEa0m3wdvX08WfyYKJz8LqXcCudu1r+0BR0Os6x+FBI8zy9Vup3HPgFaex3u9JKb1IrTU924q83ejCDtBD5BWUs33OHEbU6KRV57FkzhzSqrYz0djXqf3Bm7+jiz+DBlIjRGXRpn1MARFGtvTfBL3JERK1bsc+vKEGhgHUlrCjMYv+zbQfDeMDXsJ7trEqxmOyS1cyYv3DLDviYSL0uaaIdQyhsrYffbufws5+F5PYUMIRsj/frcc79Q10zUv428VMTu6Od8Gz6EM6c7hOIx1OZjVNOxMo1HV9maZp0+M9Xtf1Z4FnASZOnKhPnx53E23GnDlziPu8ezJgJSRoOgk9h8DGzRxx1HHQZUiLh1qwLR0qYNyEibA3DWph1JjxMDTO/jSHjZlQA6PGToAh7diuijnG5w0LweNjusN9iPs+L0iib49u9J04ARbDsJFjGTYmhuPzu0C5dVOvkUfDnk8B6NIpR/Rj0QbYAjnZWdZ+1ZXDvKbNZnfpASfeB/86im4lC8GfwrQTToadKbAa+mX5YBdk53SB7euEdjFvAUcN6w55i2DDPwA48tiThEZ0kdFwQjo0VpGZ5BX9KHgeSpeR1WcUrFnPIN0QnlO7cNzxijvJXEv3GDn5OFj/EAA5gyeTc9R0+A5GFX8G6/8WSRk/5djjm9aMrRoOK+5idJ8smDwdvvoWtml4ktKhrozJRx8L2f1auvOx4ZulsBNyU8Lg79t0TBjXFfc7OUd8TD3h9NitcHVfwD7o0W8oVKRA2crIv+I5f6vmEICNtbBeGdtrS2EDTOpsZiIcOmIUQ8e1ou2DiH988A8uWJhFo6eC1f07M3HbfobsFVbIo9eHeP3Co9iQvIBzFunAd9RuWENKsIFKfzInn3QCWgyuqXHf82Bj5L2O+1ml3QSf3Eb6cTfDp3dENvcbfSQF4Xk4hSqkTRwOxcuZdOL5UUq2XUxv9ef0EroDPDMNqmHihPHQcwJszYYqOGL8WOgdZ0Ks0y/l2PiOcERM93p9BayHsat/D32OAkP3NX369Mi7eTDW97gwR3wce9wJpuv/wehGa+eTww1zxMfBvNa47/WyXbAFjj5ykunRJFH0EjR0Pbye3eJ0qK9gwpRpIvHSAUbM97vqJFj2YuRnlxHHwjciRKzPkFH0OXY61H0OK1eL9raGYJnY17H9/f+GQE8SAKqBMx5hyqhTYbG5i+/6OfDaRVCRx8iJU0XYlZHDs/9R58DAwdDnaKb3tZsimsHe/lC5J/YxMX8lrK5iSp2SpdiXzMhzbzO86i4k4uvTqRY6DWL6MFvb/f4NX/yKhIzOHHM4jUUFB8MP6RjgbE3TdgJvItyLHwOyNE2T5LoX0IrKxocwpKtmqNGMjWirm7FEe7sVRmJmO0DXkTsifkIfDd4EawKoWGv/OblTy9gIMO95JPuwTRAN2uJtJfwpZva7YJ0ZNyxjUQqN2oul20WbsibpvlUw/x9mO0lGOaPbjERN44yEUMfeaZ4HBOH0JsJ2Y1K7ZZlzvyRU16bBJ5vJHQrWCLeasp3it9M4Tesq3J/3GOdoqLK63bZrzKxBNCv3WuNl2wvxuJPKdyIp8+CUJmgSM2v0fd37yk6HV8xhIBSgKm8nx6wtpfr401h90p1U+ZNZ0EvEe3t1nSvenscDLwv3+9r7HiLFeOcWnHd9TES2VZDzqlNtwJYw8Wr4fXnTGoJpuezMahpXXf7083hv+gru2hF/7XH5vKWr2ZBTIuc6pKGGCBQ41KE9nHAYuvYfljjxDyKc43CCGjNbX2HmmdB1US4vWpm3QxUy5OFQipkF6DfV+rvLUPO7XKtTOolcJKFAy668NUWQ1sX0tkvpZF3zb/4Oug4zY6GTs63/7zZGyGjxEFkQcmJtWcv7Aaz7AGb9Xnxf/Za5ffCJznLbMb8wS5ip6DcVrp9HICErvr4eQuhwMqvr+q91Xe+l63o/4GLgK13XLwO+Bi40drsS+LCj+3ZAIQlHqNFMEd6aySBCZj2Y2YzbuTRPJJHIAVygz3oMzn+ufdv0JRoJoGQ24xjvi0zOpSJbIbMyXiJoxKvZY2bXvoMj/CmCUEuSKK2bMp5UFscuN1yLhp8FaDDzt9YsypIYZvaGk/8s6lj+oUKUZwIzKZEv0TxHzoCmMS2DT7b+TkiDKz+Cn34Fg0+yTn6DDYEYDXy2BFMgYjtGnCViRxprTTIr71V7xpDJ2LryPOfkOB0JGffkTzk4i7k9m7FUxOQvMvdRMxkeBthcspFrZgbQ0Jj4q18wYtJILj7tDyT+6UGeOu5a8p9/l50XXE2918cnw4Yy8vzT6fXGG2T8/j5u/+P1B65jmgbnPAU/ndX64+2Calo3njn2Wu465ud8e6ZQdF1++h1kDR0l9k/JcWiopfPIZdyYl6beAXdshOy+ret3R0GN6T3MxmwTtCW+2kXsmHo7DDrhYPciPkg5qjwf/nk0vP9z8XvrbNi7HAadePD61hrIuNlDpc6sRN9jsChyVTIrZSE5H9eVG6UPDexZJhRqMnZ/7wqR6yS1iyn3pXQScvfxvxGylMzzImXypCyrIjKjB61CSo6ZMLQlfP2A8kORS3sfGf95D8fEewoOIGe7AwAAR0lJREFUpXSHdwNvapr2J2AF8PxB7k/7IkIUdDjiahF4HbcGHpEsAw5wAqgO0DKrwejtBa9faNxkprlYsyLLxEf+FDNDsOoiu3WWyEoqSXKoURS1fvdakQSger+YLAN1SsZjTJKcnCPIqbTIR5IjKZNPendB1FI6icQEvmRhzQXzOWsaHH2zQ/8NATgcEmS2It+5vNGPXoYvfm264iSmCULWy4ik8CezdeA1DDr157DyNdjyP5F9zxNF5zXmYljxqsie11Ap2krLFQt0e1oqpNAbDhz8JBmW5GIHYfLvNEjUHZYZclXrVnZ/KNshFurDBLWBWu59/hL+slVn57nnM7pXT67uBVdM6YvP6+HyKf8ndjxmBC+ecj7FhbUk+b0kjR9H+vhxB76D4y9v2/F2MpvaiTOnpPF4LTx371XMvWw541enM6hrKzK4S0RqDRuKJI/n4Ct9YsFhXgrChYuYIL15XjlPyG+hRpEQctmLgixNvf3g9i9eSOX8oWaZzegOV34M/zlT/O40yKyEIIl3hMyWmZmIk3Ng5u9g13zoOhLGXWrWvK4pNj3ypIfOtF9az9t1OOwoMio8KAmoWksOk7OFHFptWIZBGFDs7YXDZmZmEOV/ds4zv//AcFDTHeq6PkfX9TON79t1XZ+s6/ogXdcv0nU9iu/mYQq1VmdKDgw/s3XtyEGa2oUDV2dWlvtopv7WoQhvoiCckXqkMQp0MnOxGhdqt9a+f73pThysF6nTN34CVXshsxfcvg56TLAeIy2mKcYEKt3+JJntdywMM8aBJLoyw97Eq2PrO5jEtWCtmQlZZjG29+e0B5XfTd1Qdvc+R2g0M3s3+V8T9D1GKALe+6nQMidmiKzVl7zZvgudasHpNTH6fh0B+U54fVbFRUchsyfcuty0uqku8icYmQs7D+r4fsWJhXsX8vK6l9lYupFRu4RSZ+qtpqLG5226NF09bRAPXniIZfxsCSqZHXQiZPTithOHsOGPp5KbnsmPxs/guSsn4ne43phx/r+FgtQ+/xzqUN38DjUrjwsX7QVpHNBDwppXUwgP9YdNn4sa8rGGQx0qSEwTssOh6I3Q/1hTOeBPNgmoNBzJ+vFVe8X97z5OuN7uEpnxKVxnElmA6b821/lo4SY/ehmueF8o/ttjHutklJmbfZ/4bKiGF06Bz++GD28S/QZY87aZDdufKvqaOxqumwM9xrW9H4cZDvHc/d8jtFepkpP+CLcst7owtHc9wUiRb4dU8ocyfInCJaTKKGQdK5mVk5STO61EwXoz1qWhyjzHmIvh2i8FeZPPWNaolWRRTnCSsGb2hsnXw5n/MPdNVdyDwSxqLa3GzaHvMeJz4PFmv4Y6xEWA6OP5z4n43GgWVxD1VsEkx07weGDydeJ7oEbcg9TOMPS0lvscD9RFs73ruMYb2yvfCY/fXOS6joQLX2jffsUK+Qy9CWLM3LwMRp5/cPoSI6obq7nuy+v423d/Y23xWkbv1Cnskkt6j0OszmJ7QHX1v/xd8PrweDSSE9pREMzpD2c92jE5DtoTqhtgj/FizpJ5A1y4+L5ANTaooT56CCb8pOP701YkpB16VlkVJ/5BhGGBKT/ZLbNvXi7Cu3xJMPlnphwGcPHrcM9e+F2ZiHeVMabRYpuTs4XsBa3ztrRj5HnCA23LTNjypUjwl79YlIhc8aoovTPvEVj4pPDwvHYW3LhQ1Nq9Yb6zIeMHgMNs9TuMoWliIhvz47a14/WbmpsD5ePee4pwrU0/xBOI2CETQFUZbr9OsbBOkCQ0s6couu3kohFqgE2fie8lW81i2ifdp7gPG8So02BhdZCWWeliLvfzeOF0kUU44s4sE/pc+YkgpNIyKuNim0NqZ7hnnzhf93GwY27z1rkxF4m/5iDdFEMtWOen/R/kLRRJp2J1644XMkY5d1T7aoN/scpMZhEr5H1J62oubtPvhhEHqNZpS5BuxjLR2CFuld1Uuokff2LOgc8t/RdP7NYpnTGlmaMOY3i8om7slBsOdk8OPQw5RShnv/yd8Lg44XcHu0cuXLQ/1ERsqnJ64PFGjc/DDANnWMnfoYzUzlCESTKTs8Rno2GYkImSTrofPjBimQedaDU+nfW4mJtisaDL42Syz9ai82DYvxpeu1B4pp30R7F980xhRZZW29Mfht6T2nau7wlcMtuRuOztdm5QktmmZR7ahGPvFNa1bqPat90DjYZKEa+Zlhu7VRaI3MfUrvCbwqaW7l/lwWNjTbe45BxY9bogEuqk7ksU1t3ekyBvgRl/O+Ne6DnRmfDIrMky8UBmT/EHIluemoiqOUji3u8Y8ddWSMtsS660Hq8g3Nu/hsp9bT+vE6QyYHQLBDxetKZ00HF3Q9cRQjHVf5rIVjvsrPbtVzyQiSKkRf8Qhq7rPPLtX7nuk0Z0oEsFZNfUkRCE3ucexHt4oHHnhoPdg0MXucYa08sVyFx8T5GryFGSTJ3+MIy/4qB0p82Y9NOD3YPYIeUzu2U2KROum2tmmx93ifhzik31JcSXzOmK982cFq3FyPNh7btwyVsiY7KUVbZ8ad1v7CVtO8/3CC6ZPZyR1gUKOAAJoDyHH5EFUboFhGAv3XRjwYDjxOcRVzq7gydlwvR74PNfCreOMRfBV38SllDVUth5CNSXmzGstSXis/sY8ecE6V7sZHE8mFrblM5iITj+ty3vK1PiV+QfmL6M+ZGoZ9dcvGzXA1/vDhDjQ80iPenajjlvNGT0Ep/xjPeDhPl75pM+cwkzVgvlW3FSBnsyu7N80nDuOv7og9w7FwcF/Y+Dc//VNNP6/209OP2JF3dsdBNZuWgeXp9woU/rKmLbkzJh1IXNh/m4aB/IfCjSLTopSyRQnHKDtfyiRHt4O0qX47Zg+JnCzdk+RqbeDntXCtlw0IkHzhvuMIRLZg9nnP9vWP+hyKbmQtSfa6wRriPxIKuPGWOh4ro5ZmbYI68TmU2D9cJyW7Ae+toEcJmAJxQUGe8m/azlc/eeDMfcduhpOz0e+GWMAmVWX5hyU+uTmrUEf3LzRPaX202X7h8YlgQHcr3+B+6uPYKLD3ZnWsC7G97mvCWQ36kX20YdzdSfX86UMQMNZfjhXRbARSvh9YnsoXakHSZujBndD4/M0S4OLi553fw+5kcHrx8/NIy+SBBYaSzweOCWZYdHGRonZcegE+Ce3R3fl8MALpk9nJHa+eBbhg4lxFucuiXYA+kTUkx33otejH6c1ydqkcUCj1fE3R7O0DQ49YGW9ztQSI2SZfAwxOayzTyw+AHuO/o++maIjMWbSjfx5Ion6Znek19N/pVl/0X7viU44AVeWh3i4sn/dzC63CJ0I+ZZ+3opXSvClNx9PTdcHUMsuAsXLly4cNFa9J4s/lQcDkTWRdxwyawLFy5ctAMKagrwe/3kJMWf/OGyTy8DDWoaavGu38J94fv596nP4PV4ufBjk/gt3b+UE/ueyA1jRUKhyoAo5bS3YX37XMQBwENLH2LennlcvLqCoowUpv7EzVjrwoULFy5cuGgfuE77Lly4cNFGBEIBLv30cn4z7w+tOn518WpWF61m+Jeb+dMrIfxzF7Jw30JqA7Ucsy7MlbNCDNmts614E/9a/lTkOK+exMVzQ5y3aBuNwXA7XU37oby+nP9u+i955TsZlq9TMGQIHu8hWJ/QhQsXLly4cHFYwrXMunDRDiipKyEnKceN/fuB4qNtH1NYt5+quviPrQ3UctWXIbxhOGqDGD/nLAyz5Kwl7Cjazi8+EiT1jKWi5u/K/hpcLY5N2pnPqQt0oJCV63YxeWyM2a87CG9vfpfRm+o5eoNOagMkHXHkwe6SCxcuXLhw4eJ7BNcy68JFG7GrchfT/zudNze9ebC74uIgIBQO8c8V/+a41WGGbt1PKByK6/hdezdw+nc6pyzXyagLs+f0i+hfCHnvPs//3n8wst++DFGvcNwOsxSXVl5mtvPO+5Hv60vWs7podWsvqV0QCof4cN7L3P1OmGPXiT73mXbSQe2TCxcuXLhw4eL7BZfMunARBxbNW8U7T71JQ0Mgsm1t/gayq3T+890zcRMZF4c/luxfQt/Vedz0aZjL5gRZWrC02f0rGip4v+x96oLCjLt11nuR/y3qO4FpD/2evMwcTlqayBlzu9KYmMyQVSvR/vMm2zulUZxuWv/DdTWR78nzX6cx1MjqotVc9cVV/HHhH5m3ex6BsDlWJeqCdfxl8V8orS9t6+U3QW2gljvm3MGHWz7jsk+KItuL0/wMGNnG+nsuXLhw4cKFCxcKXDLrwkWMCFVXU3D/DYx84j4WHjeBq585lVWF6yi6+1GeeTLEP/5UwJw3/36wu+migzF3/kJu+jhMwOOhbxG88L+/Nrv/W5ve4qvKr1hRsAJd19m9bD4hDW6efhtHPv8UCT4va8edwoDiOsYUFtLz1pvxJiYyY3g38vvnktKoE9aF67FeJwjxsklDGLivhhc+eIibZt9EXbCOTWWbuHH2jczfPR+Adze/y3NrngPg/S3v8/rG13l53cvtfj8+3PoxX+76kuc++jXjdujsuORH3D7tZm6Y9lvSk/ztfj4XLly4cOHCxQ8XLpl14SJGrDn1dIbklbE3WyOjNsiRX+Zxy38vZuK2XZF99sybfxB76OJgwPPBHBIDMPeau6nzeZn67mbyKvMc99V1nY+2fQTA/tr9fLfzW3qvLyQ/K4Pf3n4eI3plAXDZ/bdQf82NDPzkEzpfe43ZQFoaKQ1QU18FgFZfC8CQq+6hOlEj5aXXKW8oZ0DqOJIadE5bGqa0bA8Af1j4Bx5b/hil9aXsrha16rweazKmhlADtYHaNt2PT5Z+wD1vhjhluSDcoy/4Mc89eDXv3HVKm9p14cKFCxcuXLiwwyWzLlzEiMRi4TJZ2XsC3w0eyZGbPJyyPIRXh9/9tAcAtaV53H3/qazeufIg9tRFR2J03j7W9/Uy9UdnMbvfSEbv1NlWuJFgOBhxJQb4Zvc3jHl5DLsqhfJj4dLPKbv6VvoVwNIjzmHKALNebreu2Yy/6xaSBlgTOump6QBUlRcCoNWL9idOGcWq/jn0LdTxhnS6fhnk5UdCXD0rTGDRChbtW0T/fTpnLg7zi3ev4dttCzj/2zDz18/hhP+ewJqiNXyy/RNOe/c0Lv/88ojlN16sK17HMR+vYtwOnZNX6FQma/QaOZxe2SkM65bRqjZduHDhwoULFy6iwSWzLlzECb83FX3KOSQFQpy/QKd+wiievOF1tnTJ4tjVDVz12i4Wvfriwe6miw6Arutk19RTnJPI+D7Z5E4/gaQAFC5bwsUf/owjX5vCysKVAPxp0Z8AGLxH519PBrnmj/PpVFbHaz+ezt2P3k2SP4aSNemCEJYX7QfA19AAgJacTGOnLLpWwONPh7lj7srIIes2L+BnM3/GjZ+G+MlXYW752yZ+/s9NXPxNmBFfb6SwrpBLP7uUX8/7NZ6QRvqSTXy9bS4NoQY2l25G1/Um3VCxsnAllY2V/PKDe9l7zoXMWKMTMrJ6rzvmRDfDtwsXLly4cOHigMEtzePCRQyoaTQT7RAI0P3443h3znxO2L2cMTffTmpqLqXZw+hfvAQPYbSS4oPXWRcdhtraetLrgtSlZwPQ95ip8Nw/qFq5lp19N9OnMsS/V/+bJ094kvCeEh56N0i/QihN1fh4MuRPO5sHr/wdib7Yaq96M7IAWL9zBSPGHIunoZF6v4bm8dDQqTOwjS6VOvv7D6Tbjm0A+Csq6FuQRd+iMnYefQp1W9cyvFC4Ho/I93DknixWdyrjps/SGbWtmJRgmBfLb+ae0V5OWhGiz6X3ct20Sx37s7tqN1d8fgW5tQnc+UYtvUqgLNmP//XP2Lwxn3NOmtC2G+zChQsXLly4cNEMXDLrwkUMeOKz9znH+J40dizjhuby16k/4pjz7yd1aFcAFpx8OU/3ncE/5/wFb0X5QevrDw1/+nwJY3p24ewxB77GajAUZuH2Eo4d3AWArdvXkQCEsnMAGDFqIBvTvCSv28BvljQydA883riKa0PXMnVtPf2EdzDFN97CWWeey/Dc7nGdPyVH7P/Zkn9zzhk3EG4ooN4vLJ96l26R/XL+9DBf3PMXTt21hIH74KL5ooTPlPt/RbE3mbdf/oK+s95hwq61jHq5mDDgoZydk46n39KvuHpWmKtnCVfj5xL+zPyBfZjac2qT/mwo2kVyg84drwXJLffw2FGXsnfkkXw4rCeThveK69pcuHDhwoULFy7ihetm7MJFDKj5r6gh+92Zl3L8vbfQOS2RBb8+gRkGkQWYPLY/YyePoCLVQ2Jl9cHq6g8ObxVey70rzmZO/pwDfq4PVu7liueXsGm/SMD0xuwPABjY53gAuqQnsmDAJCZsFkQWYMqSUpbuX8rQ3cJdt+GRf5E5cHjcRBYgd/wpVCf4OGp9iH+u+ieJjUEaDDJb07tLZL+xRwzjls9eJD87hwnbxHln9p1Mds9uDO6WyT13/Zj+TzzJwj8+y8reo/EAZb0HcdorT3Hjib9kf0o2DR4fdT4PA/br/P7b3zu6G28oyOOO98L0LQ0S/t1DPP3ivXz0f65rsQsXLly4cOGiY+CSWRcuWkBVfYDjduxibc8kjr/3Tjwe59fmp8cO4JkrJlKR4ielus5xHxftC7Wu7y1f3cKaojWR3wU1BTy+/HGC4WC7ne/brcJ9fG+FeL5nvPIxAN17jY7sk3DZLZQnJkd+j8jTObugP+N26Ow/7iTGnT691edPTE5iZu8pHLVBZ/6id0gMQMBnWIWHnUVJqo89acLl2ef1UJvWjYDmJf+3D3P5u89a2jp6aC7X/OhYGn7+C/akdqbyp7cC8PRvLuK/P/0Tb9/6CPndh3D8ap2zPtjHA4sf4JwPzuGNjW+QX1HALZ/9g+LVSxm7Uyd03fVM/NEZrb4uFy5cuHDhwoWL1sB1M3bhIgoKa8q5YdbPqN+3l4fLgpScMJWe2SktHleVmkj30voO6KGL/dWlXP9ZiPHbdD6Z4uOOpNt44Li/8uSKJ/F7/Czev5hJ3SZxVI+jmJ03mz8t+jNvn/VfOid3BuCeefcwOHswV4+6usVz6bpO/nereeTb//CfUf0Y1fPvpDYGAOg0cXxkv1vPGs8Ts3/EKTP/w84Zp9Pv68+4/IUtAKSPHNOm6z16YCfeOf1HhJ/6lmnflNC7SKc+LROA7uk5XHX8/YzskcGJxv5rzvwJc/aX8I9LT49qLb3y/KP57ogPGd87C4Ch3dL5143C0vy3QA28/gQnrtjLzCde4ygfLMv8E/6Nf2R4lsbuzqLN7iec6Ni2CxcuXLhw4cLFgYRLZl24iIL/e/stjpi7jsoUIbAfffZVMR2X3z2HiVt2Url9ExkDhlr+t724kv9uepvrjzif7KTs9u7y9xaV9QG+3VLMaaOtrrl5FQUcs14nKQA/mRVkzLZ9/LT2asIek7htKdtCt9Ru3PvZL5iyUeeN/u9z/YQr+W7nfv636SM+9mtcNfIqguEgi/cvZmrPqSzYu4Bfz/s1v53yW07sK4jazpJaLv72DYaX7uWrFft5uue/uTCg8/UJQ7ixR1bkfF6PxrUP3cnsE6ZyxskTWf/voWzcWczoz19j6BkntOk++LweHrrueF74Xx9OXClK/JRddzkAR/TN5uZTR/KTo/pG9r/7prMI63qzbr+apjGpX47j/6688lSuXbePh+Y8zmnLpJuxTmGGj5F5QUBsyxkysE3X5cKFCxcuXLhw0Rq4ZNaFCwfouk7fOZ9z3iId0KlO8jBs4qSYjs0bdw7heY+x9N8PccJfnrf878Ff38DI6hW8f6/GNaOuOQA9/37irv+u5NuVOxh+zxn065wa2T5n06ecG4BV55zO9t21nLdsDv0KYFdXnbAGPUvg0UUPsWXJg7w4VyQ0ejDtUY5Y9xgTdiTz6lshvhqjsf70dczcNptvZ/2bqsv+zj+/fZSRK4t5QH+AVUWr6JnWk3DZFAbUikDYE1eGebLXf7gQGD1iepP+pif5OfcckTBp7K3XMRbQ//7rdoklTfJ72X/SRbD5YQBGnCvcexN9Xm49YbBl3wRf2yJJumYk8cE/f87HL+TiGzSEzP+7ns7Vpay5+3lGP3g1XSvDbMvqyvDExDadx4ULFy5cuHDhojVwyawLFw7YXlzDlG07I78L+o9CixIra8eAAdNZ3u9ZBny5gDnXfU1hWS9OH9GP6lAJt81bDsCLW78Dl8zGjIGz3uMXSz6g8qojoLOwAu6r3sdXa17hXCC7Z28mH38kLJvDX18K0ejxsq1HiOG7m7Z19zthSrIS6VQuknQdv1rny0fupKxkN/d/E+bv3Mdpq8qZsUbn7/4CXmp4CS2sc8b+nzC+PkBtgpehe0KcO7sXsItxYybGdA3tmRTp9NPPYcMHj9Lg8zE8O63d2nWC16Nx7k/PB2DVy28wd80uLj9tHOfNvY5eVXt5/OF7Duj5Xbhw4cKFCxcuosElsy5cOGDeogUcWdTA/vRkulXVkTp8bMzHjuyRyWs9T+C3Oz7h6X/eTffCan597E/wDNjHz+VOS1fBuQei599PjNmxAoCqrdthjCCzz699niyj/G+nnoPpOn4EshrwzozuDN8tmGxFQiqBe+7jmPNP4skf30ZSRQmpgTo6IeJYFw9I5aT386hLEMee/2UZ/QvE94vnahy7LsS47TorBrxEoxdKn3+D8HXXcsLWXWhJSSQNGtQh90DF5P6dmHLWj0lKhEs68LxjR/Rh7Ig+ADz/22spq20ku1NmB/bAhQsXLly4cOHChEtmXbgw8M3mIirqApw1tgf75rwKQOVv76Nw+S7OueOqmNsZ2zuTW3KOZUunBfz841IAZtW/yrOna1ya6CejIcCATWXUB+tJ8iUdiEv5XmHtngoqwsIqXr1zB9/t/44EbwLvbXmPC/WxwHLSu/egV+cM/jJwGtsye/Lrv9/KU7c9REFiJrfcfSnHjuwNwJnPPkRtY4j68kq44GQA3pg8lSO3/4/kRnE+SWRr7vkT3f7yW3qWirjQIzfr7B87mpMmjabu5ecJFhWRMnEi3oyMDr0fAB6Pxr/Ou5FQuMNPHcGALgfWIuzChQsXLly4cNESXDLrwoWBP3+2jrpAiDPHdKf3xtUUZfk5+6wz0c6Ozz20V3YKa+4/ne0r+tLw04tJDELPkhCXzkoio0FkOR6er5Nflc/g7MEttObiDx+t4/xE4RK8ZfGj/F+OBwyX3S5za6j3+uk5sC8ej0bf397DCV3TGNw9iyv/9ku6ZiTRM8sskxMhYD0zyb/yKpKGDObcziOo+OArClOyeOmIU/jzl0KRMfEnF/Dk4vUcM+e/JIVEeZ/eZ18EQPJosxTPwcIRfZ2TNrlw4cKFCxcuXPxQ4JJZFy6Awqp6dmr/wZdWwbdbUhi9q4GNU8a1Os4xNdHH6CljeeZn1zHtX88yfDcM3y2I7N6MHHJqS1ldsAlvsPsP0sJVG6hlc9lmxnUd1+K+w2v2M35vEQAnrNLJLQ/z4IUejlufwdTdmyi9+Bq65gpid/kUM5Pv+D7NZ4vu/eu7AbiqMcRp5z7ApMFdufeYgfDlq6wc0InhwPH3/oI/jzyOkZ/9hy61lVxznltL1YULFy5cuHDh4lBB21JdunDxPcG8LQUkpK1FS9jJJ28/SEIQ+pzyoza3e/0vbmd7F+FKvGpCTwIfzqJi2qkkBeAvXz3L8X+fg67rLbTy/cN9C+/jJ5//hOK64hb3Hb1lMQBrumfzypSLGZ6nc/sHYa6YWUHliPEc/ds72tSX5AQv7/zfSfz+wgmM7Z3N5Rfdx+wLHwBgRI8MXrtxGp8ccylfX3In3pSW6wy7cOHChQsXLly46Bi4llkXLoDPNn/HjV/UMH2NDmyi3udl/JmntUvbOdUhAKqH9mDM0J7kZQsr4rD92xi/9kXyNwynz4jDt07n52v28duPVvPkFQOY0ie623RVYxVL9i2hOlDNZzs+A2D5/tWc3P/4ZttvCAgX44pfXcEDp9zAu6fOZsK2ImoTE5jw7yfQvN42X0PnNLO0zMOXTadLurXUzPy7m++jCxcuXLhw4cKFi46Ha5l18YOHruuUrJ9pEFmBjUecTFJy+yRn+mzgWMpTgVOPBsCfnQXAr94Oc/rW9ax4+9/tch6AWesLuPf9Ne3WXixYuGM/eF7nz2+cx8Uf/5jt5dst/1+ybwmnvHMKR79xNLfNuY375t7LGQuSuPmjEM8te5bLPr2MbeXbLMfsr9nPy+teRtd1PNVFFKfD2DFHAJA/6AQACs+8FH+nTu1+PTOGdWVUT2uGXo9Hw+Npv9I6Lly4cOHChQsXLtoO1zLr4geP7cU1nPvdMqqT4KYbvExqmMHfrnuw3drfedrNXJa3gk0TrwUgIUdYZr0Gdy7bt6XdzvXByj3MXFfAn8/ruARFa2v+w8MfLiG3HFYNWMdfq+7m4QufJyNBZPn9fOfnlDWUMzHjMgoqdnPri9/Qt1hYW1csWcO3Iz1c/cXVPH3S04zoNAKAn838GTsrd3Jc7+Pw15RTlQID0nsCkHTBJdwQ6smLt3dkURoXLly4cOHChQsXhxpcMuviB49tq1Zz5PYaVpw5lsfPvo1JuZPwetruuirxwlWTCISOwO8Vr1tKjkhMVJSSjY9yPOUl7Xau4h27GbZ/B43BU0jwdYzjhVa6g9xy2JsDw3eFKPxoHf/X+f949uRn2VS6ia82/o9T5iYyacMsBlbsxYNO3Z33UvnMo5y6rAbS+rJjSICfzvwpn5//OX6Pn52VOwG4d+5f+XFtBVXJHrqndgfgZ8cN5uzxvemhZCl24cKFCxcuXLhw8cODS2Zd/OCxa+XX9Aa6nnAaU7pPaff2/V4Pfq9JLFN69SDg8fLdMWczZPVbJFVWtct5QmGdafNeZcruDdQ23ECCL6Fd2m0J/YpFNuZdN53Fnje+YMbqAK9vX8Cxb06jvKGMq2aHOP07Hc+oMSSccxKN6ZmM/+llvDhrIUet+oqhr+8g4PGS3yXEF8M/piQQ5J43Q3h0WN3/GzpXhtncNx2PJu6h16O5RNaFCxcuXLhw4cKFS2ZduKjLXwfAxIkndMj5MnI7ccapv+e6M8ZRte1jsmoq2qXdPWW1jC3cQHIwSGVZGVmpue3SbkvoXCTI+BWn/Yrbv61j0tZZvPhoiPxOVVR17sGArfvYPW4yJ735nOW4vSefzxt1GuNG9Gb4By8xoAAenf0iDZXl3L1D+GCP2Sk+G7v36pBrceHChQsXLly4cHH4wE0A5eIHj8TC3VQlaWR16RjC1CcnhRvPHs8lk/tQm5pKRk3Icb8vt8/nrq//SH5lfottBsIBNi5ZRE5tEIC9uze1a5+dsKVsCzWBGpJq6wh6wJedzbhLbmdpr24AVCX1YcDW/YQTk5n0x183Of6mi4/l6Afu5by/3EXNK+8B0Hnrfn4ys5aq9EzqvX4WDp5Cp1kfctmjrx7w63HhwoULFy5cuHBxeMG1zLr4wSOntJLi7I6rH6ppGjdOHwRAMDWVlAZoCDWQ6LWWg7nzq3vRvCV8nvc2K69YSX5VPrsqd3Fc7+Ms+xXXFXPBRxcwbV41lxrb9u3eDEw7YNdQWlfOLS+cR0b3SUyvb6AuwYOmaVw7tT9XnPJLZq5ewV8eu52eSYDXiycxsUkb2akJnDpKxMGOGDOYJSlZXP51OQCVD9yPf/xYzspJo0umW9vVhQsXLly4cOHCRVO4llkXP2iE9TBdyxup6Jx9cM6fkkpSACpryizbKxoquOrrIt58MISm62ws28hFb53Jfe/dRG2g1rLvy2vepqKmhDFbhIUUYN9eszxPIBSIu19f533NDbNuIKyHI9uKaouYnTcbgDeWfchfXgpx1CdLSGxopC5RJMzSNI2HfjaDs3/xE3rnpOBJSXEksnakJPr48tRrKEtM45ORJzLp3BMZ1b+rS2RduHDhwoULFy5cREWHk1lN03prmva1pmnrNU1bp2naL4ztOZqmfalp2hbj8+CwCxffe6gEbcv+bXSu1Al0635w+pIqytdUle0HIL+0ltdWfsPZ75/DactEvOj4rTrvb/6Q37wZ4ql/hVi6Z7GljU8XfMqjz4QZtUtndc8uAMz450yWzXyNl9e9zIRXJ/D37/4eV79um3M78/fMZ0uZWTbo0eWPctvXt/HN7m/YvmwuSQGYuj5MWm0D9Ylm9uceWcn8aGLvuO/F9XdexhM3PUHfX9/l1nR14cKFCxcuXLhw0SIOhmU2CNyp6/oIYApwk6ZpI4BfAbN1XR8MzDZ+u3DRrlhXvI6jXj+K1UWrAfjf3Nfx6JDRb9RB6Y+WmglAZUkhAOe88Dx/WXErhCFk8LkbP4cPN/yXIXvF769mvhA5vrKxktOX7iSnCr7sO5YPJvyUigRhzVz9/tvM3DUTgJfWvcTmss0x9WlFXhm9d/s5bnWYWXmz2FS6ialvTmXJ0g85Y0mY+7/9I4nbNgKQVg9jdtRTn+hv873o0ymFN66b0ioi7MKFCxcuXLhw4eKHhw6PmdV1fR+wz/hepWnaBqAncA4w3djtP8Ac4O6O7p+Lwxu1gVpe3/g63VK7ceaAMwEIhoOU1ZfRObkzDy55kNpgLXN3z6VHWg/4+H0CHjjm/EsOSn996cIBobK4AABveC6TN3iZMeRGvPrvWZI7jMkFG5mx3HQVTlqwjK0XbWVQ9iD+tfJfjNodYl2XPjwy/gqumNKXi7mP/3z1K0KFO9m0J8yfXkni/amNPPrdv0hPTODiYRczvut4x/4Ewzq/e+NL/vZyNQBvVzzFM6n/5IIinSmbdLJqIKdqL2l1UJHsJ+QNkFMNDe1AZl24cOHChQsXLly4iAcHNQGUpmn9gPHAYiDXILoA+4GOqSvi4nuDvZVFXP7FJRTVFZCqdefMAWfy8baPuef/27vz+Kiqu4/jn1/2kAQChJ2wryKL7CoiSwUFRXkUtbS4VKWluBSXqhTbWm219dG6tHV73CrUXbFal6ICKsgqm8gii8gW9sgSErKc5497gxEFSUjOZML3/Xr5MjNzZ3LmO5eT+d17zzkfjwfgzGZnsn3pp9z2XhGT1z7ClkcfYcSiIpZ0PIlOzSNzNjChRm0A9u7aDsBP569l0KIc4HcArBtxJZ0euZkLPwpmPN6YUosBi3fy11l/oV3GaUyfPpGhW2HtoN7MGT+QxPhYnp21jm2p1cjcsoe7noyn0a693PwqXJcxhc21jflbFvDeiP9+b3umrt9P+1UPHLw94mMHuIO3t1WryTlzgvG9X7VpzcK0DQybvxtiYg99KRERERGRChWxYtbMUoFXgF8553abfTNGzjnnzMwd5nmjgdEA9erVY9q0aR5a+2179+6NyO893pQ259sXz2F7jS00X1uXouQs7v3PvUzKeprLPyik9SbHc6e/xfg3oPY+R8d1we61rHZD9gw8L2Kf5/av9wPw5fLPmTJ1CnV376fQ4JMGHQHIaJDEvHqt6bNxOYUGz5w0nPEfP4H7YAavNZ7JHc8XsbdadXJ7dOLzT2cBcHOPJLIXZ9Jh8+fklqgxx77hWNDKMafVgcO+309zpnLj0p3sbFKXL+L20WvNPiaOupYT3nmHrttWsmLMr/hy4nP02LKcfY1bsrp6HMxfTN1te/RvohTUh/inzP1R1n4pb3+UtV/K259ozjoixayZxRMUspOcc6+Gd28xswbOuc1m1gDY+n3Pdc49BjwG0L17d9evXz8fTf6WadOmEYnfe7wpbc6j57zOJQsLGT5zExsz4Ib6T3P5R6mcNT8bgNueL2J/YiJTew2i/+w3+HjYlZx83ZX8T6MaFfMGjsL+ourA30mNg5ZdW1K0x7GsVTP+3PEyzGDF8AFc99Yc+mxcTn58EieNOJuNCyZzzRs7ADhQLYV2L0ykd+vWB1+zH/DnWZ+xNDuHOReM4Q/XDOXdvz5Fmyfvpc1m6Lwmm3439zu4vXOOtbvX8oeZd1J782wa7oSGN1/PFTN3U6/9Gv5+2Uj2nnc2k6ct4pYrh/JOj1N44r9z+NO4Yax+expMvoac1FoM0b+Jo6Y+xD9l7o+y9kt5+6Os/VLe/kRz1t6LWQtOwT4BLHPO3VfioX8DlwJ3h/9/3XfbJLr127GW82c69qVXJ3P7bl68qwDIZk3vM1iR1pCW8z7gxD9M4Jxu3Vm88Cdc2rcjCXGRXZ0quV59Cg3cli2s3bWeWnsht11DxvZvxfx1u4iJMar1PZ3VS95jxbBRXHpqc8aeOIzfz34KgBq3TiCxRCFbbFvPfjwc24qnhvQgKT6W06++hJXP/oO0/P1APvvy95ESn0JuQS4Xv3kx63as4uo3izhlmSM/FtLOPJMma2axckstmmekkNKoBr07BJdin9WlMWd1aQzAiFNO5po+Y2jQsS1DvKUmIiIiIhKZM7OnAqOAJWa2MLxvPEER+6KZXQGsAy6MQNskivVcvpHdKXHsuPRamj9wJwBbk9Pp+ZfbGZBeHbiJ5ITgutvMAZ0j2NJvVKuWxPa0OBK37mTlxtX0y4XE+pmMO6PNwW1O7tSUqwdcz9geLclITeTEEWdzbVJ1rqu/n6EXnPu9r3tyi9ps2JVD3zbBUj3p1RJ48sq7uOSp8dTek8OrK1/h1EZ9OPf1c0k84LjpxeqctD4YC1sQCzGJiUy8ohefbfqalMTDdxPNMlIYfc0FdMlML79QRERERESOQiRmM/4YONwikgN9tkUib/Wu1STGJdI4rXGpn7t+93ocjibVmwBQP3s/GxumU3jSyfxfh7NZ0bwz4358KnXqVt4li6slxLI2LYnUbbtZtHgGAA3anvCtbfq2qUNaUhwdGgaXQ08Y2p68wW1Jij/8pEvnd2vM+d2+nell53Tn2ZlncvWiV5ky6Wme7/Qcf3qqgFZZUGTZbO7enQbz5lE8Wr1u9SQGVE/6wfdwTueGpXnLIiIiIiLlIqKzGcvxKa8wj5dXvkx6Yjq3Tp8A5PO7U2/n/DbnH/VrZO3LYshrwYWt0y+azoodK0jPKWR94xoM7tiYVwefz8MXdCKzVrUKehflo1pCLF+lNmLQqhU0nvoJAJmn9vrWNrVSEpg/4QziY4NjQGZ2xEL2cHq3qM37o0ay84s3aLI8i+3xNWiVFTy24edXE9emPcybR0zR4Y41iYiIiIhUHipmxbsp66Zw95y7Scpz/PFfjp3VHb+P+f1hi9lH573C3C2zOTmzHTM2LGBzzjqys7cwZEERG2vD6S+cjjnHpH2wLr02tVISeG50b6/vqazSqyUwqfnFDNj6EAMW72RvYjLtmjf5znblNbb3+kHtePHB1nT86ksa5jQEsnlwUB3GjhhJ4Z5gbdltKRnl8rtERERERCqSilnxbuZXC2iW5Rj5QU1aZW2HLBg8r4j5Z86nW71u39n+1Q8fYMjcHbRY+wY9d8OnLWNI3pdCx01FAOxNiSN13wEAEjOaen0vx6pWSgLN22Tyx9irGPfBoyw8cyQ9rOLOjCYnxLKz79kkPvdXWnz5OW837cXb1UZwb51UdiQn8PuuF7O6YVt+VGEtEBEREREpHypmPVq+czkNUhpQIzFyS8FEyuCnf0ONxFTG9e1P9ltv8Jd/FwLbmTl4FLXnvcvQuVu5/O3L+E3vCWTlZDGs5TAAtu/LZuwb22i2LZas1OrEFe2m5xdF7E8oIGfMOObN+py0DWs4ad8XANRqcMIRWlE5TRh6Ane8CaPifsODF3et8N/X+YIhPFQ9k3P2fMGgcwbRMDeeaglxFKXA+026UzctscLbICIiIiJyrFTMeuKcY8QbI2iV3orXzn0t0s3xqqCogA4LJrM/AR5ZOpExU4IZhn7dZwwv3zuWZ29wtH13In95ooD7d9xBbjy8tOIlOid25tV3X+fnm2HtsAE0u/p33PXn50ilkHE3XUTrZvXpdh3szs3npnF/44xF/6V+x44Rfrel161pTSaPPZW9eQWkJJR+LGxpDWhXjwHt6kF4/vXE8P7UxDhGtIln9NBeh32uiIiIiEhloWLWk5yCHABWZa+KcEv8yS/M54FPH+Sfnz3FC+8WHbx/TfX6zL12PA+fdyqJcbEU9h3Ipo/fpum2Hfz18UIAZrXKZXmzjzhzXj4xQM/hI6nbpDb//PvV3/k91ZPi+ct9V/Pe5yM4+aRGvt5euUs9whI4vgxtkUDremmRboaIiIiIyA+K/Lfn48Su3F3l8jpFroiduTvJSK78k/Q8+9mrvDLvKW59LR4IitTlrboy7JUniU385lLWQad3ZNCn4+m/ZibjFrwCQO9V++gd1v3rBg6m/clHntCpRnL8d5aiERERERGRqkvFrCfZednl8jqPLHqEhxc9zNQLp1bKgnbp9qXkFeaREpfGxGl38L/PFlJjP8yt144vq9enztix3ypkAZpnpPDFH4dw3fMNOCezBz2zltG1RQa1G6XRrk4GZ5zdLzJvRkREREREKi0VsxVoV+4u0hPTOVB0gPfXTaXmHsfe5ODsaoyVbamVKeumALBx78ZKU8wWFBWwff92Nu3dxOgpo8krzCOpKJE/vVhIrb3Q7OXnadyiDQ9PW81lA9oc9nWuOq0Fs9fs5O6br6VJ7WpMmzaNk/v18/dGREREREQkaqiYrSC7cndx8ZsXs78gj+y8bBrsKODRxwpZ1MzYdOEmGqeV7ZLYuJjgI8val0XnOp3Ls8mlVlhUyMRlE3lowUNBAZvn+OkHsdTck4HF7qHxDlhapyXtTzyRZODWIe2P+HonNqrBrPED/TReRERERESiWtlOD8oPSrBUWn+YSur67YyZHMf9jwVjRjt/6Vi+fuF3tl+dvZr75t1HQVHBwfty8nO4b/593DT9Jj7f8TkAFn5km/du5pNNnzD89eHk5OeUa9vX71nPDdNuOOLrOuf41Xu/5Zn37uHM9xMZPbMTt75Uk8ELD9AmK5ceK/eRlVaH3v98rFzbJiIiIiIiAjozW2ESc/bys2lrST5QCOxjT3wSafm5AMx++xmyyCbGYpiTNYfzWp3H/XMfY/WeJeQV5tGrQS/umXsPOfl52NZtZG6NZUzWXB494xFW7VwHwKKty5m0fBJZ+7JYumMpPer3KLe23zf7cd7b+F/apndidJdLv/XYZ9s/4/5P76egsIi4D2fz4OQiYt1OYCf5MbFsHvVL+o+/mqlzV9GgXjqNm9Ypt3aJiIiIiIgUUzFbQeJq1mTJL35DzwcnsKJFZ14c+ku2LFnGPR8/RPP3l3J37WU4MwDe/+p9hs8somuh44XCSUz/eBJ7kuHcWUUMnhdDQlEed8btYETuCDK3Oc6cV8SkAW+Rkxis13rDtBvokNGBLTlbeGLQE9RMqnlMbV+VFbTr3TUfcVXnS7CwndPWT+O3/7menkvzALjww1i+TkqDex6iQ++OLNmwi/5t62NmDOjZ+pjaICIiIiIiciQqZivQ+Vecyx/3Qr/+XXm4Q2OmrmjJkzvXMXbxa9z1dgYfD25L2y7DmPXQy/z4k1kADPvESCwMLjUuAhKGnMXGaTO46dW97KmWTEb2bgCa5dRi3bD2TN/yESsa72Ld7nVs2LOBG6ffyC09b6F1zbIXk/FxB6AQVu6ZzW0zbuOmHjdx50f/x/ylT/G754yG2cGasV83akqPpx8lITMTgNPaNTiGtERERERERI6eitkKlJoYx12/Pv/g7XO7NOSekwaybN+XtF+0gBaLtrAvfi698vezpX5zPk2uT3yMUcMdoMnm1djVv+L0Ky7kkfvfpNUbk4h1RaTH7iW5II+WKzfR+n+38KPwtbMTt5GTkMA7vT/lx1sv5pRGp/Lzzj+nQ+0OP9jObTnbmL5hOsNbDSc2JpaimH3E5aTRvuYA3lk2mamLJzPqgyIuXeqIdfBKy758mtmRfz30CxLitQuJiIiIiIh/qkQ8MjMuOaUZt+4YQbfanbhm4csciI1n9xVj6X/NZdTYuJu61ZMAeGvxZq7o0xyAO395Fu8P6EqXzHRSE+P4fNNu/vDSLGqvWMQZKz5kQ2odGtVLp/289/nZFGhaoyMvxC9gwscTeOmclw7OgJxfmM/SHUsPzoL82qrX2JKzhacW/4v9Rdm8s/Yd+jfpT+yqD3lqUh4FMW+Rkh9MXFUQY6T/ZBRrew3kyp6dSYqPIUmFrIiIiIiIRIiqEc9+3KsJD32wipkNO5J08sl0b12fMQPbYGac1OSbsa5X9W1x8OfkhFjO7tTw4O1TWmVwyq1nA2fz4txLOKVuKl2bpDP4F4/w63n/ot9ry+i1vi13nLCcQXmD6VK3M82qN2PyF/9hW+6m77Rp+Mwi8uLgrR6zmJ01m/PWFZFYCCsatqTtxuVsS04nZ8hwzp1wPWVbUEhERERERKR8qZj1rHpSPD/p1YQnZ6zlr5eeQo1q8cf0ehf2yDz488sPXMl9L5xI8vNP02/BIv48u5D/dDzArIGLmJI8hT6fFVEjvQabM/IZPnMftbNjiU3uRu+FswEYnn0Km/Lzab94LjkJxo9em8iM1TsYdEI9kuJjj6mdIiIiIiIi5UnFbATcMKgtF3RrfMyF7KGqJ8Xz21F9mNarDS88/DxXvfsIQ5ds54zP49nSsgWZK1dSSDZrm7Sl1VfLgQLybR6b23ZhyYFETls4j9qJKQDEFcRQOzWRYZ0bHvmXioiIiIiIRICK2QhIiIuhdb20CnntmBhjQLt6HLjqQn6TF8ugE+oRO/kl+qxcwpbkmsS6Qlp9tZy11Rsw/7KbOKN/Zwa0b4gt38rmA4X0aZXBLZffzuaU2kyukBaKiIiIiIgcOxWzVdSZJzbgjH+MJTbGuKVRW+6ZtYY7L+rG83O+4qLO9RjeqzlD4r65dLh/u7oHf97U9yxOaVk7Es0WERERERE5Kipmq7DYGAPgrv/pyNj+rcisVY0Lu2f+wLPg9bGnVnTTREREREREjklMpBsgFc/MyKxVLdLNEBERERERKTcqZkVERERERCTqqJgVERERERGRqKNiVkRERERERKKOilkRERERERGJOipmRUREREREJOqomBUREREREZGoo2JWREREREREoo6KWREREREREYk6KmZFREREREQk6qiYFRERERERkaijYlZERERERESijopZERERERERiToqZkVERERERCTqqJgVERERERGRqKNiVkRERERERKKOOeci3YYyM7NtwLoI/OoMYHsEfu/xRjn7p8z9UM7+KXN/lLVfytsfZe2X8vansmfd1DlX5/seiOpiNlLMbJ5zrnuk21HVKWf/lLkfytk/Ze6PsvZLefujrP1S3v5Ec9a6zFhERERERESijopZERERERERiToqZsvmsUg34DihnP1T5n4oZ/+UuT/K2i/l7Y+y9kt5+xO1WWvMrIiIiIiIiEQdnZkVERERERGRqKNiVkRERERERKKOilkRERERERGJOipmj8DMlE8FM7NhZtYy0u0QKW9mNtLMOoc/W6Tbc7xQv+2H+m6pqtR3S1VVVfdt/dE/RPgH+vpIt6OqM7MfmdknwBNAg0i3p6ozs/PM7I5It+N4EO7bHwH3AycBOM20V6HUb/ujvtsv9d3+qO/2S/u2P1V9346LdAMqCzOLA24AxgBNzOwD59xCM4t1zhVGuHlVQngUKAV4DkgDJgC/ApoCH5tZjHOuKHItrFrCvGOAy4FbgKZm9l/n3EeRbVnVE2adBDwD1AXuBM4FqoWPqx+pAOq3/VDf7Zf6bn/Ud/ulfduf42nf1pnZkHOuAFgBtAOuBx4N768SH3Rl4AJ7gYnOuX7OufeBdwn+caEvQ+UrzLsQWEVwJO6XgI6CVoAw6/3ApHDffheYCYwKH1c/UgHUb/uhvtsv9d3+qO/2S/u2P8fTvn1cF7Nmdq2Z3W1mF4Z3/cc5l+ucux+oa2Yjw+3iI9bIKqBEziMAnHMvhPfHALuA9WaWGMk2ViVh3o+b2ZXhXdOdc3ucc48DKWZ2Rbjdcf3vvzyUyPoqAOfc6+H9scBaYKmZZUayjVWN+m1/1Hf7pb7bH/Xdfmnf9ud43LePy53GAuOAi4B5wO1mdhlQs8Rm1wP3ADjn8r03sgr4npz/YGaXmVkdOHg0fy0w1DmXF8GmVhnhfjwSeAUYZWa3Ai1KbPJb4Hozq6mzKcfmkKx/ambjzawFHDziuRvoDGRHqo1Vifptf9R3+6e+2x/13X5p3/bneN23j8tiNhz03B+Y4Jx7GRgHdAIGl9jmNWClmd0IweDpSLQ1mh0m587AmSW2mQlsMLNhkWlllTMQ+LNz7h2CsYRJwE+KH3TOvQ0sA0abWVrxGRcpk0OzTgB+Wvygc24JkAtcHJnmVS3qt/1R3x0R6rv9Ud/tl/Ztf47LfbvKF7PhAOiSt4vf8zzgNIDwQ/8C6GBmbUtsPgb4i5llAY08NDdqlSLnlQQ5twu3qw4sB3QW5RiUyHsBcDaAc24e8AnQyMxOLbH5zcBdBPt8fZ/trAqOkPUsgqz7hNsZwbjCpEP/fUjpqN/2R323X+q7/VHf7Zf2bX+O9327yhezQHLJGyUuYVgFpJlZx/D2dKAGwUyNmFkX4HGCU/VdnXPPeGlt9CptzqnhdruBxkA9T+2sEsKxDwcPIpTIewYQY2Z9w9ufAZuBhuH2rYB/AJMJ9uuHPDY7KpUy602Ey5WEZ7fqAvvCn+UoHSFz9dvlrAxZq+8+RiXHBarvrlilyFp99zE6tDjSvl1xSpl1ld+3q2wxa2a9zewV4O9mNqjEH+zi5YjmAAXAIDOLc859TnAUv3v4+A7gl865Ec65Tb7bHy3KIWeAi51zT/tsd7Qys5PN7HFgnJmlFXdGJfL+AlgKXGTBtOsbCL5sNgsf/xq42jn3P9qvj6yMWdfnm6wBbnTOPemz3dHMzE41s2eACWZWq0TmxZM5qd8uJ+WQNajvPmpm1tPMroVvz/5cothS311Oypi1+u4yCvN+HLjZwnH14f2x4Y/at8tJGbOu8vt2lSxmzawfwVGeVwmWbfgpUNOCtfAKAJxzqwguo2pJsNYVQB6wLnx8fXhtuRzGMeb8ZfHrOOdyvTU6ipnZ6cDfgA8IjmiON7NBcHCJEoA9wEdAIvC/4RfTmgRf8nHObXPOfeG77dGmPLIOtz3gs93RzIJJKv4BTCVYv/QOMxsC30zmpH67fBxj1l8Wv4767qNjZr8CXiM4cHBWeF8sfKvYUt9dDsoj63Bb9d0/wMxizewu4DGCM4Jdgd+ZWT341tIv2rePUXllHW5b5fbtKlnMEkwKMtc5NwmYCMQDe4s7MjO708yeAOYDDwI9zWw+sJPgWnI5OseS838j1OZo1g2Y4Zx7jmDx63rAj4s7MzO7E/gXwVHO2wg6sI/C27rcsnSUtX89gWXhmb4bgYXAOWbWANRvl7NjyVp9d+mtJRjHNobwwECJL5+Y2e2oPykvytqvjcCFYV8yDuhNiWFnyrtcKevDiPvhTSo/M+sN7HTOrQzv+hD4vZltIliQeRnwDzN7F1hPMCX4b51zX4bPHwnEOeeyfbc9mihnv74n7xVAFzNr6JzbZGZ7gdrAeWY2lSDvW5xzq8Pn/wxIcc7tiUT7o4my9s/MziE4KzjPOTeL4LLWa8ysiXPuKzObQXBW8GIzm4v6kzJT1n59T95vhg8tA64ws2udcw+Gl712AFqj/qRMlLVfJfKe7Zyba2b/cs7tNLNE59xGM9sAZABfmlknlHeZKeujF9VnZs0s3cz+A0wBLjSz4okpFhIsIdCUYPxUP4LT8j8iGPQ80jm3qnj8hHNur/5IH55y9utweRPMJrobeNqCccqZBGdU0pxzK8O8V5fIu+h46MSOhbL2z8wamNkbwK8Jjhw/ZWaDnXNrCGa5LF6WYQXB2J/qwBL1J6WnrP06Qt6FQFF4Wfa9BEVWRthvLFF/UnrK2q/vyfufZjbIObcTwDmXZ2ZpQHOCCYdwzi1W3qWnrEsvqotZIIXg8rJrwp9PK37AOTcHqEM4lopg7Fs6sAuCiQCcFmc+WsrZr0Pz7gsQjim5nmD6+pecc8MJvoD2K36i8i41Ze1fd+Aj59xpzrk7gAeA0eFjHwEdzaxX+KV0I9DXOfc1KPMyUNZ+HZr3/cAv4OAsohCMU55F0OdgZj3D/5vyLhVl7df35f3LQ7bpCSwNr2ZKNbPWoLzLQFmXUtQVs2Z2iZmdbmbVnXMbCQZDv0iwCHAvMyue6jsRmMk3O8BAoFa4Hcfjh10aytmvH8i7Z3HezrkDzrmpzrnnw6d2Bd4pfh3l/cOUtX9h5v3C/uJ94NkSD+8gOBMOMJtgnbz7wrPkHYB1ZlYNlPnRUNZ+/UDeOwkudz04k26Y650Es5F+DXQNv4BWmWUyKoqy9uso8v483K54BvSawHozuxyYC3SBbx1ckMNQ1scmKopZCzSwYKzapcBPgIfDS0dynXM5wHsEH+5ACE7DA/8GUs3sQ+DHBFN/b43Mu6j8lLNfpcx7wCHP7WPBhCyn8c0YITkMZe3f92Q+EngSqOac21zij3IDgtxxzmU55x4gKLSeJJgh/c/h5yOHoaz9KmPeReHzWhFM0jID6OOce+R4/QJ6NJS1X2XMOz+871zgJoIrnC5yzr3kt/XRRVmXn0pfzFqwTpID0oCNzrmBBLPU7SQ4owKAc24GwZIBbS0YB5fsnFtKsINc5pwb6Jxb5v8dRAfl7FcZ8m5nZjXMLCV8aA1wm3NusAsnaZHvp6z9O8rMi8/8nQG8HD6vbnjfr4ErnHO9nHMr/LU8+ihrv8qQ9yvh84rX8t1NMLnWQKdlpI5IWft1DHlnhPe9RTDb7uXOucX+Wh59lHX5qrSzGVuwLtgdQKyZvUUwMUUhBNOsm9l1wCYzO905Nz182uMEl5RMAZqYWdfwMsI1/t9BdFDOfpVD3k3NrJsLFsLW4uJHoKz9K23mZpYAbANWmtkfgbPNrJ9zbhfBenlyGMrar3LKu3941ZKuXDoCZe1XOeXd1wVL2ckRKOuKUSnPzJrZ6QTr29UEVhF88PlAfwsH8LtgLMTvw/+KDSUYu7kQ6BgWWHIYytmvcsh7EUHeG/y1Ojopa/9Kmfnt4dOSgMsIxgilAT8Kiys5AmXtVznmvdNrw6OQsvarHPP+2mvDo5CyrjiV9cxsEXCvc+5ZADM7iWAK6t8CDwPdLBjgPxkYYGbNwsv/cgk+6A8j0uroo5z9Ut7+KGv/Spt5Y6AhMBG4zwVLfcnRUdZ+KW9/lLVfytsfZV1BKuWZWYIjFy+Gp+MhGLzfxDn3NMGp+WvCoxeNgcLicWzOudf1JbRUlLNfytsfZe1faTIvcs5tcM7Ncc5doj/Spaas/VLe/ihrv5S3P8q6glTKYtY5l+Ocy3PB2ncQDH7eFv58OdDezN4EngM+hWBWMP8tjW7K2S/l7Y+y9q+Umc8HZV5Wytov5e2PsvZLefujrCtOZb3MGDg4UNoB9QiWf4FgoorxwInA2uLxms5puvWyUs5+KW9/lLV/ytwfZe2X8vZHWfulvP1R1uWvUp6ZLaEIiAe2A53CIxa3EZx+/9hp4qHyopz9Ut7+KGv/lLk/ytov5e2PsvZLefujrMuZVfai38x6AzPD/55yzj0R4SZVScrZL+Xtj7L2T5n7o6z9Ut7+KGu/lLc/yrp8RUMx2xgYRTCTV16k21NVKWe/lLc/yto/Ze6PsvZLefujrP1S3v4o6/JV6YtZERERERERkUNV9jGzIiIiIiIiIt+hYlZERERERESijopZERERERERiToqZkVERERERCTqqJgVERGJMDMrNLOFZrbUzBaZ2Q1mdsS/0WbWzMxG+mqjiIhIZaNiVkREJPL2O+e6OOc6AGcAZwG/+4HnNANUzIqIyHFLS/OIiIhEmJntdc6llrjdApgLZABNgWeBlPDhq51zM81sFtAeWAs8AzwI3A30AxKBvzvnHvX2JkRERDxTMSsiIhJhhxaz4X3ZQFtgD1DknMs1s9bAc8657mbWD7jROXd2uP1ooK5z7k4zSwRmACOcc2s9vhURERFv4iLdABERETmieOBvZtYFKATaHGa7QUAnM7sgvF0DaE1w5lZERKTKUTErIiJSyYSXGRcCWwnGzm4BOhPMdZF7uKcB1zjn3vXSSBERkQjTBFAiIiKViJnVAR4B/uaCsUA1gM3OuSJgFBAbbroHSCvx1HeBMWYWH75OGzNLQUREpIrSmVkREZHISzazhQSXFBcQTPh0X/jYP4BXzOwS4B1gX3j/YqDQzBYBTwMPEMxw/KmZGbANOM9P80VERPzTBFAiIiIiIiISdXSZsYiIiIiIiEQdFbMiIiIiIiISdVTMioiIiIiISNRRMSsiIiIiIiJRR8WsiIiIiIiIRB0VsyIiIiIiIhJ1VMyKiIiIiIhI1FExKyIiIiIiIlHn/wGK4UCb4z9QYAAAAABJRU5ErkJggg==\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "execution_count": 21,
      "metadata": {
        "collapsed": true,
        "jupyter": {
          "source_hidden": false,
          "outputs_hidden": false
        },
        "nteract": {
          "transient": {
            "deleting": false
          }
        },
        "execution": {
          "iopub.status.busy": "2022-09-26T22:15:27.132Z",
          "iopub.execute_input": "2022-09-26T22:15:27.138Z",
          "iopub.status.idle": "2022-09-26T22:15:27.340Z",
          "shell.execute_reply": "2022-09-26T22:15:27.440Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import r2_score, mean_squared_error, mean_absolute_error"
      ],
      "outputs": [],
      "execution_count": 22,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false,
        "execution": {
          "iopub.status.busy": "2022-09-26T22:15:27.351Z",
          "iopub.execute_input": "2022-09-26T22:15:27.358Z",
          "iopub.status.idle": "2022-09-26T22:15:27.370Z",
          "shell.execute_reply": "2022-09-26T22:15:27.446Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"                     R2-score        RMSE        MAE\")\n",
        "print(\"The Score with LR  : {:5.4f}         {:6.5f}     {:6.5f}\".format((r2_score(df['PredictLR'], df['Adj Close'])),\n",
        "                                                   mean_squared_error(df['PredictLR'], df['Adj Close']),\n",
        "                                                   mean_absolute_error(df['PredictLR'], df['Adj Close'])))\n",
        "print(\"The Score with SVM : {:5.4f}       {:6.5f}  {:6.5f}\".format((r2_score(df['PredictSVM'], df['Adj Close'])),\n",
        "                                                   mean_squared_error(df['PredictSVM'], df['Adj Close']),\n",
        "                                                   mean_absolute_error(df['PredictSVM'], df['Adj Close'])))\n",
        "print(\"The Score with MLP : {:5.4f}         {:6.5f}     {:6.5f}\".format((r2_score(df['PredictMLP'], df['Adj Close'])),\n",
        "                                                   mean_squared_error(df['PredictMLP'], df['Adj Close']),\n",
        "                                                   mean_absolute_error(df['PredictMLP'], df['Adj Close'])))\n"
      ],
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                     R2-score        RMSE        MAE\n",
            "The Score with LR  : 0.9996         0.61818     0.52691\n",
            "The Score with SVM : -22.2408       1556.69499  32.17290\n",
            "The Score with MLP : 0.9995         0.74361     0.68171\n"
          ]
        }
      ],
      "execution_count": 23,
      "metadata": {
        "collapsed": true,
        "jupyter": {
          "source_hidden": false,
          "outputs_hidden": false
        },
        "nteract": {
          "transient": {
            "deleting": false
          }
        },
        "execution": {
          "iopub.status.busy": "2022-09-26T22:15:27.381Z",
          "iopub.execute_input": "2022-09-26T22:15:27.389Z",
          "iopub.status.idle": "2022-09-26T22:15:27.407Z",
          "shell.execute_reply": "2022-09-26T22:15:27.450Z"
        }
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_plot = df[['PredictLR', 'PredictSVM', 'PredictMLP', 'Adj Close']][df.index > '2022-01-01']\n",
        "\n",
        "ax = df_plot[['Adj Close']].plot(color='blue', ls='-', figsize=(15,5))\n",
        "ax = df_plot[['PredictLR']].plot(ax=ax, color='green')\n",
        "ax = df_plot[['PredictSVM']].plot(ax=ax, color='red')\n",
        "ax = df_plot[['PredictMLP']].plot(ax=ax, color='yellow')\n",
        "plt.ylabel('Price')\n",
        "plt.title(symbol + ' Price Prediction')"
      ],
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 24,
          "data": {
            "text/plain": "Text(0.5, 1.0, 'AMD Price Prediction')"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1080x360 with 1 Axes>",
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "execution_count": 24,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false,
        "execution": {
          "iopub.status.busy": "2022-09-26T22:15:27.416Z",
          "iopub.execute_input": "2022-09-26T22:15:27.422Z",
          "iopub.status.idle": "2022-09-26T22:15:27.506Z",
          "shell.execute_reply": "2022-09-26T22:15:27.512Z"
        }
      }
    }
  ],
  "metadata": {
    "kernel_info": {
      "name": "python3"
    },
    "language_info": {
      "name": "python",
      "version": "3.6.13",
      "mimetype": "text/x-python",
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "pygments_lexer": "ipython3",
      "nbconvert_exporter": "python",
      "file_extension": ".py"
    },
    "kernelspec": {
      "name": "python3",
      "language": "python",
      "display_name": "Python 3"
    },
    "nteract": {
      "version": "0.28.0"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}